Trainer provided some topic and support it with plenty of exercises. We had a chance to apply knowledge by doing them on our own.
- UBS Business Solutions Poland Sp. z o.o.
SQL Schulungen
Structured Query Language (SQL) courses
Erfahrungsberichte
SQL Schulungsübersicht
| Code | Name | Dauer | Übersicht |
|---|---|---|---|
| pgsqladm | PostgreSQL Verwaltung | 28 hours | This course handles the administration and performance tuning of PostgreSQL databases. Attendees will learn the use of specialised PostgreSQL modules such as replication, connection pooling and full text searching. What is PostgreSQL? A Brief History of PostgreSQL Conventions Further Information Bug Reporting Guidelines Introduction to PostgreSQL Installation and Creating Database The SQL Language Advanced Features The SQL Language SQL Syntax Data Definition Data Manipulation Queries Data Types Functions and Operators Type Conversion Indexes Full Text Search Concurrency Control Performance Tips Server Administration Installation from Source Code Installation from Source Code on Windows Server Setup and Operation Server Configuration Client Authentication Database Roles Managing Databases Localization Routine Database Maintenance Tasks Backup and Restore High Availability, Load Balancing, and Replication Recovery Configuration Monitoring Database Activity Monitoring Disk Usage Reliability and the Write-Ahead Log Regression Tests Client Interfaces libpq - C Library Large Objects ECPG - Embedded SQL in C The Information Schema Server Programming Extending SQL Triggers The Rule System Procedural Languages PL/pgSQL - SQL Procedural Language PL/Tcl - Tcl Procedural Language PL/Perl - Perl Procedural Language PL/Python - Python Procedural Language Server Programming Interface Internals Overview of PostgreSQL Internals System Catalogs Frontend/Backend Protocol PostgreSQL Coding Conventions Native Language Support Writing A Procedural Language Handler Writing A Foreign Data Wrapper Genetic Query Optimizer Index Access Method Interface Definition GiST Indexes GIN Indexes Database Physical Storage BKI Backend Interface How the Planner Uses Statistics |
| 3044 | Benutzen und managen der Datenbank in MySQL | 14 hours | Participant will learn: Can I use MySQL for free? What do I offer a commercial license? How to install a MySQL database? How to perform basic operations on the installation? What are the available tools for managing and programming in a MySQL database? Legal aspect MySQL MySQL's dual license policies Commercial License Open Source License Installing MySQL Standard installation of MySQL (binary files) Installing MySQL on Windows or Unix-like (GNU / Linux, FreeBSD) Tuning the server after installation, testing Upgrading MySQL Connecting to the server Making queries Creating and using databases Creating and selecting a database Creating tables Importing data into the table Obtaining information about the database and tables Using the mysql command in batch (Batch Mode) Discussion of the utilities Ways to call the program Setting program options (command line, the configuration file, environment variables) Setting the program variables via command line GUI tools for managing and programming the database MySQL Administrator MySQL Query Browser Toad for MySQL |
| osqlide | Oracle SQL Intermediate - Data Extraction | 14 hours | Limiting results The WHERE clause Comparison operators LIKE Condition Prerequisite BETWEEN ... AND IS NULL condition Condition IN Boolean operators AND, OR and NOT Many of the conditions in the WHERE clause The order of the operators. DISTINCT clause SQL functions The differences between the functions of one and multilines Features text, numeric, date, Explicit and implicit conversion Conversion functions Nesting functions Viewing the performance of the functions - dual table Getting the current date function SYSDATE Handling of NULL values Aggregating data using the grouping function Grouping functions How grouping functions treat NULL values Create groups of data - the GROUP BY clause Grouping multiple columns Limiting the function result grouping - the HAVING clause Subqueries Place subqueries in the SELECT command Subqueries single and multi-lineage Operators Subqueries single-line Features grouping in subquery Operators Subqueries multi-IN, ALL, ANY How NULL values are treated in subqueries Operators collective UNION operator UNION ALL operator INTERSECT operator MINUS operator Further Usage Of Joins Revisit Joins Combining Inner and Outer Joins Partitioned Outer Joins Hierarchical Queries Further Usage Of Sub-Queries Revisit sub-queries Use of sub-queries as virtual tables/inline views and columns Use of the WITH construction Combining sub-queries and joins Analytics functions OVER clause Partition Clause Windowing Clause Rank, Lead, Lag, First, Last functions Retrieving data from multiple tables (if time at end) Types of connectors The use NATURAL JOIN Aliases tables Joins in the WHERE clause INNER JOIN Inner join External Merge LEFT, RIGHT, FULL OUTER JOIN Cartesian product Aggregate Functions (if time at end) Revisit Group By function and Having clause Group and Rollup Group and Cube |
| transsqlbas | Transact SQL Grundlagen | 14 hours | Delegates will gain an understanding of the basic principles of Structured Query Language as well as being able to do each of the following: Construct queries to extract and filter data from a SQL Server database Create summarised results Change, derive and format data to suit the required output Change data and maintain database components and definitions This course is for anybody who needs information from a Microsoft SQL Server database. It is suitable for either system developers or people from other areas who need to use SQL to extract and analyse data. Basics Selection of all columns/fields Selection of certain columns/fields Use of distinct/unique Selection of certain rows/records Selection of values in a range Selection of values matching a pattern mask Selection of values within a list Treatment of null values How to sort and order data Selection of calculated and derived values How to control column headings in query results How to send query results to external files Joining Tables Principles of joining tables: Use of cartesian join Use of inner join Use of non-equi join Use of outer join Joining Queries Union operator Intersect operator Except operator Simple Functions Conversion functions Date functions Number functions Text functions Group/summary/aggregate functions Sub-Queries Principles of sub-queries How to filter rows from main query Use of nested sub-query Use of multi-column sub-query Use of correlated sub-query Use of sub-query as an inline view and common table expression Use of sub-query as a column in main query Case Statements Principles of case statements Use of case statement to derive column values Use of nested case statements Use of case statements to produce pivot tables Use of case statement with sub-queries Data Manipulation How to insert values into a table How to copy values between tables How to update values How to delete records How to change data via views Use of transactions How to lock rows and tables Data Definition Principles of a relational database and data normalisation Use of primary key and foreign key relationships and constraints How to create tables How to alter tables How to create views Use of synonyms How to remove tables and views |
| 416 | Einführung in Firebird | 14 hours | Classic, SuperClassic or Superserver? Installation packages Embedded Server for Windows What is in the kit? Default disk locations Linux Windows Installing Firebird Installing the Firebird server Installing multiple servers Testing your installation Performing a client-only install Server configuration and management User management: gsec Security Windows Control Panel applets Administration tools Working with databases Connection strings Connecting to an existing database Creating a database using isql Firebird SQL Protecting your data Backup How to corrupt a database |
| osqldevdm | Oracle SQL for development and database management | 35 hours | Database Development Recapping the basic principles behind relational databases Concepts and terminology Retrieving data using the SELECT statement Using simple and more complex JOINS to retrieve data from multiple tables SELF, INNER and OUTER joins Restricting and sorting data, conditional expressions Single row functions: string, date and time manipulation IF-THEN-ELSE statements Conversion of data between types Creating aggregated reports Using correlated and uncorrelated subqueries in SELECT statements Retrieving and manipulating data using subqueries Running Data Manipulation Statements in Oracle to manage database transactions Query optimisation and efficiency Database Management The Oracle Data Dictionary: introduction and usage Creating views, indexes, constraints and synonyms Controlling and revoking user access to schema objects (tables, views) Managing indexes and constraints |
| 3092 | SQL-Sprache in MSSQL | 14 hours | The course answers questions How to build a query? What opportunities have SQL? What is a relational database? What is the structure and SQL commands? Relational database models The structure of a relational database Relational operators Download the data Rules for writing SQL queries The syntax for the SELECT Selecting all columns Inquiries from arithmetic operations Aliases columns Literals Concatenation Restrict results The WHERE clause The comparison operators. LIKE Condition Prerequisite BETWEEN ... AND IS NULL condition IN condition. Logical operators Many of the conditions in the WHERE clause The order of operators DISTINCT clause Sorting Data The ORDER BY clause Sorting by multiple columns or expressions SQL Functions The differences between the functions of single and multi-wierszowymi Functions text, numeric, date, Conversion functions Nesting functions Handling of NULL values Aggregating data using the grouping function Grouping functions How grouping functions treat NULL values Create groups of data - the GROUP BY clause Grouping multiple columns Reducing the function result grouping - the HAVING clause Retrieving data from multiple tables Types of joins Aliases tables Joins in the WHERE clause INNER JOIN Inner join External Merge LEFT, RIGHT Cartesian product Subqueries Place subqueries in the SELECT command Subqueries single and multi-lineage Operators Subqueries single-line Operators Subqueries multi-IN, ALL, ANY Collective operators UNION operator INTERSECT operator EXCEPT operator Insert, update, and delete data INSERT command UPDATE command DELETE command Transactions |
| ddavsvbsqls | Entwicklung von Desktop-Anwendungen mit Visual Studio 2012, VB.NET und SQL Server 2012 | 21 hours | This course is divided into 3 main sections and is made up of a mixture of presentations and practical exercises. VB.NET Language in Visual Studio 2012 VB.NET Object Orientation VB.NET and Sql Server 2012 Part I. VB.NET Language in Visual Studio 2012 Module 1. Introduction to Visual Basic 2012 The Object-Oriented Programming The Visual Studio 2012 IDE Creating a new Application Using the Help System Module 2. The Microsoft .NET Framework The .NET Framework Classes Executing the Code Common Language Runtime Code Loading and Execution Application Isolation Security Interoperability Exception Handling Module 3. The Visual Basic 2012 Language Data Types Storing Variables Using Methods Making Decisions Working with Data Structures Using Arrays, Enumerations and Collections Module 4. Building Windows Applications Responding to Events Creating the Toolbar Creating the Status Bar Using Multiple Forms OpenFileDialog and SaveDialog controls PrintDialog and FolderBrowserDialog controls Understanding Menu Features Creating Menus Context Menus Part II. VB.NET Object Orientation Module 5. Building Objects Understanding Objects Encapsulation Methods and Properties Managing Events Building Classes Using Constructors Managing Inheritance Module 6. Advanced Language Constructs Using Lambda Expressions Using Async and Wait Using Iterators Module 7. Exception Handling and Debugging Handling Exceptions Try, Catch, Finally The Throw Keyword The Exit Try Statement Using Exit Try Statement Using Exception Properties Logging Errors Module 8. Parallel Programming Using Tasks and Threads Launching Parallel Tasks Transforming Sequential Code to Parallel Code Parallelizing Loops Specifying the Desired Degree of Parallelism Creating and Managing Tasks Part III. VB.NET and Sql Server 2012 Module 9. Database Programming with Sql Server 20012 and ADO.NET The ADO.NET architecture The Connection class The Command and DataReader Classes The ExecuteReader(), ExecuteScalar(), ExecuteNonQuery() methods Using Parameterized Commands Calling Stored Procedure Managing Transactions Module 10. Data Components and the DataSet Building a Data Access Component Managing Disconnected Data The DataSet Class The DataAdapter Class: Filling a DataSet, working with Multiple Tables and Relationships The DataView Class Module 11. Using Data Binding Basic Data Binding Data Source Controls The SqlDataSource Inserting, Updating, Deleting and Selecting records |
| SQL100 | T-SQL Fundamentals with SQL Server Training Course | 16 hours | This SQL training course is for people who want to acquire basic skills to deal with SQL Server Databases. Course will help the members to learn: How to work with SQL Server and SQL Server Management Studio. Meaning of Databases, SQL and RDBMS etc. How to create tables, use DDL, DML and DAL. Which are the various RDBMS Packages in the market and how they compare with each other. An Introduction to NoSQL and how they are organizations are changing into hybrid databases. Course Outline: What is the meaning of Databases. Comparison of RDBMS and DBMS Different RDBMS available in the market. What is SQL Server? Working with SQL Server Management Studio Working with sublanguages like DDL, DML, DAL. Creation of Tables, data types, Constraints and their definition. Using Insert, Delete and Update statements. Using Select Query and its various operators. Use of Null, Not Null, And, OR, Between, Exists, Order by, Group by, Having clause What are inbuilt functions? Math, String and Datetime functions. Working with Views. How they are used for data access. Working with Joins. Joins types and getting data from multiple tables. Working with Sub Queries. What is a correlated subquery. Difference between Sub Query and Joins. What are Common Table Expressions. Using Recursive Common Table expressions. |
| sqlsqlsvr | SQL in SQL Server | 14 hours | This SQL training course is for people who want to gain the necessary skills to extract and analyse data from any database and create reports. Course members will learn: how to write SQL queries what relational databases are and how we can use them what are relations and how to create them the structure of data differences between T-SQL and other dialects practical skills for writing queries This SQL course deals with Microsoft T-SQL dialect. If you are interested in generic SQL, please see SQL Fundamentals course. RDBMS (Relational DataBase Management System) Relational Operators SQL as Declarative Language SQL Syntax SQL Sublanguages DQL, DML, DDL, DCL DQL (Data Query Language) in Detail SELECT clause Column aliases Table aliases Date types and Date functions Group function Table joins JOIN clause UNION operator Nested queries Correlated subqueries DML (DataManipulationLanguage) Overview Inserting rows (INSERT) Inserting rows using subquery Updating rows (UPDATE) Deleting rows (DELETE) DDL (Data Definition Language) Overview Creating, altering and dropping objects (CREATE, ALTER, DROP) Creating tables using subquery (CREATE TABLE .... AS SELECT...) CONSTRAINTS Overview NULL i NOT NULL CONSTRAINT clause ENUM type SET type PRIMARY KEY UNIQUE FOREIGN KEY DEFAULT clause Transactions Overview COMMIT ROLLBACK SAVEPOINT Implicit and explicit rollbacks and commits T-SQL Dialects Overview What is Transact-SQL T-SQL and portability with other dialects (what to avoid) Handling Date |
| osqlint | Oracle SQL Intermediate | 14 hours | Audience All who want to improve their basic skills in Oracle SQL and also systematize already gained knowledge. Format of the course 25% lectures, 75% labs Create complex queries to databases Use available operators Queries with multiple conditions Creating tables and references DDL commands (create, alter, and drop) Create referential integrity Normalization of tables (up to 3 normal form) anomalies and ways to avoid them Changes in the structure of existing tables ALTER clause Manipulation of data DML commands (insert, update, delete) Creating new users and granting permissions DCL commands (grant, revoke) Linking Tables Internal and external joins Data Aggregation Features of grouping functions Use the GROUP BY clause and HAVING Grouping multiple column Subqueries multi-column correlated WITH clause |
| cpd200 | CPD200: Developing Solutions on Google Cloud Platform | 24 hours | This 3 day instructor-led class introduces participants to Solution Development for Google Cloud Platform. Through a combination of instructor-led presentations, demonstrations, and hands-on labs, students learn how to develop cloud-based applications using Google App Engine, Google Cloud Datastore, and Google Cloud Endpoints. This class is intended for experienced application developers who want to learn how to develop solutions using Google Cloud Platform to create highly scalable backends for both web and mobile applications. At the end of this oneday course, participants will be able to: Manage Google Cloud Source Repositories using the Google Cloud Platform Console Test an App Engine application using the App Engine SDK Access the App Engine Development Server Console Create an API using Google Cloud Endpoints Test a Cloud Endpoint API using the API Explorer Deploy an application to App Engine using the App Engine SDK Design, structure and configure an App Engine application using multiple services Create Client IDs using the Google Cloud Platform Console Secure App Engine services and Cloud Endpoints APIs using authentication Configure and upload new versions of App Engine services Integrate Google Cloud Logging into App Engine applications Review quota usage in a Google Cloud Platform project Integrate different types of storage with App Engine applications Create and implement a data model for use with Google Cloud Datastore Implement a variety of queries in Google Cloud Datastore Update the index configuration in Google Cloud Datastore Implement transactions using Google Cloud Datastore Review Google Cloud Trace reports in the Google Cloud Platform Console Integrate the Memcache API into an App Engine application to increase performance Configure, run and review the output of Google Cloud Security Scanner Configure the scaling behaviour of individual App Engine Services Create App Engine handlers for Push Task Queues Send email from an App Engine application using the Mail API Schedule Tasks in App Engine using the Cron Service Update the configuration of the Cron Service Secure Task Push, and Cron Service handlers Export Google Cloud Platform data from a project Delete Google Cloud Platform projects and resources Module 1: Developing Solutions for Google Cloud Platform Identify the advantages of Google Cloud Platform for solution development Identify services and tools available for solution development using Google Cloud Platform Compare examples of Google Cloud Platform architectures for solution development Lab: Google Cloud Source Repositories Create a project for the course Use Google Cloud Shell to develop and test an application using the App Engine SDK Configure Google Cloud Source Repositories to remotely host code in Google Cloud Platform Module 2: Google Cloud Endpoints Identify Cloud Endpoints features Explain how to develop APIs using Cloud Endpoints Compare development of Cloud Endpoints APIs using Java and Python Lab: Google Cloud Endpoints Review and edit Cloud Endpoints source code Deploy an application to App Engine Test a Cloud Endpoints API in the APIs Explorer Module 3: App Engine Services Explain the use cases for App Engine Services and how to use them in structuring an application Identify how to deploy and access individual App Engine services Explain how to route requests to individual services Lab: Google App Engine Services Review the code for a sample application used throughout the remainder of the course Deploy multiple App Engine services to a single project Module 4: User Authentication and Credentials Compare authentication and authorization Identify options for securing App Engine applications Explain the use cases for Application Default Credentials Lab: User Authentication Configure the OAuth consent screen and create a client ID Modify Conference Central to use your client ID Test Conference Central authentication Modify your admin service to require administrator rights Module 5: Managing App Engine Applications Explain the use cases for App Engine versions Identify how to access App Engine monitoring and logging services Explain the use of resource quotas and how to troubleshoot related errors Lab: Managing Google App Engine Applications Review App Engine settings, quotas, instances, and logs Update App Engine services to log to Cloud Logging Deploy new versions of your default and admin services Route all traffic to a new version of the default service Module 6: Storage for Solution Developers Compare storage options for App Engine Solutions Developers Explain the purpose of, and use cases for, Google Cloud Storage Compare Cloud SQL integration with App Engine and Compute Engine Explain basic Cloud Datastore terminology and concepts, including Entity Groups Lab: Google Cloud Datastore Update an existing application to save data persistently Test saving application data to Cloud Datastore List and view Cloud Datastore entities in the Google Cloud Platform Console Module 7: Queries and Indexes Identify available query filters for Cloud Datastore Compare singleproperty, and composite indexes in Cloud Datastore Configure and optimize indexes for Cloud Datastore Lab: Google Cloud Datastore Queries and Indexes Add support for querying entities by kind and ancestor Add query filters to Cloud Datastore searches Update an index configuration to support composite indexes Module 8: Entity Groups, Consistency, and Transactions Identify the steps of a Cloud Datastore write Compare strong and eventual consistency in Cloud Datastore Identify how to achieve strongly consistent queries Identify best practises for Cloud Datastore transactions Lab: Google Cloud Datastore Transactions Add support for using Cloud Datastore transactions to an application Add a Cloud Endpoint API method to view data from a different service Module 9: App Engine Performance and Optimization Identify Memcache types, use cases, and implementation patterns Compare available scaling behaviours for application services Configure application scaling for individual services Lab: Google App Engine Performance and Optimization Review Cloud Trace reports for an application Configure and run a security scan for an application Update an application to make use of memcache Configure and test application scaling for application services Module 10: Task Queues Compare Push and Pull Queues Explain how to schedule tasks with the Cron Service Configure and securing Push and Pull Queues, as well as the Cron Service Lab: Task Queue API Add a task handler to send an email using the Mail API Add a Cron Service handler and configuration to an existing application Lab: Deleting Google Cloud Platform Projects and Resources Export Google Cloud Platform data from a project Delete Google Cloud Platform resources Shut down a Google Cloud Platform project |
| sqlmysql | SQL in MySQL | 14 hours | How to build a query? What opportunities has the SQL in a MySQL database? What is a relational database? What is the structure and SQL commands? Relational database models Relational operators Characteristics of declarative SQL language SQL syntax Division language DQL, DML, DDL, DCL Data Query Language SELECT queries. Aliases columns of tables Service date (DATE types, display functions, formatting) Group Features Combining internal and external tables (JOIN clause) UNION operator Nested Subqueries (the WHERE clause, the table name, column name) Correlated subqueries Data Modification Language Inserting rows (INSERT clause) Inserting rows by request Variation of the rows (UPDATE) Delete rows (DELETE) Data Definition Language Creating, altering and dropping objects (CREATE, ALTER, DROP) Creating tables using subquery (CREATE TABLE .... AS SELECT...) CONSTRAINTS Options NULL and NOT NULL CONSTRAINT clause ENUM type type SET PRIMARY KEY condition UNIQUE condition FOREIGN KEY condition DEFAULT clause Transactions The command COMMIT, ROLLBACK, SAVEPOINT |
| 67592 | SQL Server 2008 Administration | 28 hours | This SQL Server Administration training course teaches students how to administer a SQL Server 2008. Objectives Install and configure Microsoft SQL Server Create databases and tables Implement indexes and partitions Take database snapshots Implement service broker for asynchronous processing of database requests Create and use full-text indexes Secure SQL Server and implement policy-based management Recover data Automate administrative tasks with the SQL Server Agent Use Dynamic Management Views to monitor the database and troubleshoot problems Configure a SQL Server for high availability using failover clustering, database mirroring, log shipping, and replication Overview of Microsoft SQL Server 2008 Database Engine Business Intelligence Installing and Configuring SQL Server 2008 Editions of SQL Server Infrastructure Requirements Service Accounts Collation Sequences Authentication Modes SQL Server Instances Upgrading to SQL Server Installing SQL Server Using the Tools in SQL Server 2008 SQL Server Documentation Management Tools in SQL Server Performance Management Tools Business Intelligence Tools Creating Databases SQL Server System Databases SQL Server Database Structure Creating a Database Moving Databases Designing Tables Naming Objects Schemas Data Types Column Properties Creating Tables Computed Columns Sparse Columns Constraints Database Diagrams Indexes Index Structure Clustered Indexes Nonclustered Indexes Included Columns Filtered Indexes Online Index Creation Index Management and Maintenance XML Indexes Spatial Indexes Partitioning Partition Functions Partition Schemes Partitioning Tables and Indexes Managing Partitions Database Snapshots Creating a Database Snapshot Reverting Data Using a Database Snapshot Service Broker Service Broker Architecture Message Types and Contracts Queues and Services Conversations Sending and Receiving Messages Queue Activation Prioritization Full-Text Indexing Full-Text Catalogs Full-Text Indexes Querying Full-Text Data Security Configuring the Attack Surface Endpoints Principals, Securables, and Permissions CLR Security Data Encryption Policy-Based Management Overview of Policy-Based Management Facets Conditions Policy Targets Policies Policy Categories Policy Compliance Data Recovery Database Backups Recovery Models Database Restores SQL Server Agent Creating Jobs Creating Maintenance Plans Creating Alerts Dynamic Management Views Overview of DMVs Retrieving Object Metadata Database Diagnostics High Availability Failover Clustering Database Mirroring Log Shipping Replication |
| hivehiveql | Data Analysis with Hive/HiveQL | 7 hours | This course covers how to use Hive SQL language (AKA: Hive HQL, SQL on Hive, HiveQL) for people who extract data from Hive Hive Overview Architecture and design Aata types SQL support in Hive Creating Hive tables and querying Partitions Joins Text processing labs : various labs on processing data with Hive DQL (Data Query Language) in Detail SELECT clause Column aliases Table aliases Date types and Date functions Group function Table joins JOIN clause UNION operator Nested queries Correlated subqueries |
| sqlfun | SQL Grundlagen | 14 hours | This SQL training course is for people who want to gain the necessary skills to extract and analyse data from any database and create reports. Course members will learn: how to write SQL queries what relational databases are and how we can use them what are relations and how to create them the structure of data differences between SQL dialects (Oracle, T-SQL, ANSI) practical skills for writing queries This SQL course deals with generic ANSI SQL. It can be used in any database, including Oracle, MySQL, Microsoft Access, Microsoft SQL Server, DB2, Informix, PostgreSQL any other relational databases. RDBMS (Relational DataBase Management System) Relational Operators SQL as Declarative Language SQL Syntax SQL Sublanguages DQL, DML, DDL, DCL DQL (Data Query Language) in Detail SELECT clause Column aliases Table aliases Date types and Date functions Group function Table joins JOIN clause UNION operator Nested queries Correlated subqueries DML (Data Manipulation Language) Overview Inserting rows (INSERT) Inserting rows using subquery Updating rows (UPDATE) Deleting rows (DELETE) DDL (Data Definition Language) Overview Creating, altering and dropping objects (CREATE, ALTER, DROP) Creating tables using subquery (CREATE TABLE .... AS SELECT...) CONSTRAINTS Overview NULL i NOT NULL CONSTRAINT clause ENUM type SET type PRIMARY KEY UNIQUE FOREIGN KEY DEFAULT clause Transactions Overview COMMIT ROLLBACK SAVEPOINT Implicit and explicit rollbacks and commits SQL Dialects Overview MySQL Microsoft Access and SQL Server Oracle and PostgreSQL |
| 68403 | Introduction to SQL Server 2012 Integration Services (SSIS) | 28 hours | ETL and SSIS Packages Control Flow Workflow Constraints Data Flows Variables Containers Transactions Errors and Debugging Logging Slowly Changing Dimensions Deploying a Package Security Scripting Best Practices |
| mssql2016 | MS SQL Server 2016 | 14 hours | Performanace and Management Enhanced Database Caching Query data store In-Memory OLTP in SQL Server 2016 Development Temporal Database Temporary Table and Variable Table in-memory Native JSON High Availability and Security Enhanced AlwaysOn Always Enrypted Row-level Security Dynamic Data Masking Data Insight and Business Intelligence Operational Analytics New functionality Columnstore Index Direct Query in SSAS Tabular R Integration (language R in SQL Server) Enhanced SSIS Enhanced MDS Reporting Services New Report Server Mobil Reports SQL Server Mobile Report Publisher Cloud and Hybrid Stretch Database Enhanced backup to Azure Migration SQL Server to Azure SSIS and Data Factory |
| sqlmysqladv | SQL für Fortgeschrittene in MySQL | 7 hours | This course has been created for people already acquainted with SQL. The course introduces you into secrets common to all SQL databases as well as MySQL specific syntax, functions and features. DQL (Data Query Language) Correlation in FROM, WHERE, SELECT and HAVING clauses Correlation and performance Using CASE, IF, COALESCE functions Using variables Casting and converting Dealing with NULL, NULL-safe operators Using regular expression with REGEXP operator Useful MySQL specific group by functions (GROUP_CONCAT, etc.) GROUP BY WITH ROLLUP EXISTS, ALL, ANY Multitable OUTER JOIN Rewriting subqueries as joins DML (Data Modification Language) Multi-row inserts INSERT by SELECT Using subqueries in DML statements Using variables in DML queries Locking tables and rows Updating data in many tables IGNORE clause REPLACE clause DELETE versus TRUNCATE DDL (Data Definition Language) Creating tables with select Temporary tables Stored Procedures Short introduction to MySQL stored procedures |
| 66437 | Microsoft SQL Server 2008/2012 (MSSQL) | 14 hours | This course has been created for delegates already acquainted with SQL in Microsoft SQL Server Environment 2008/2012. The course focuses on set-based querying and query tuning, working with indexes and analyzing execution plans. The training also covers table expressions, ranking functions and how to deal with partitioned tables. Module 1. Query Tuning Tools for Query Tuning Cached Query Execution Plans Clearing the Cache Analyzing Execution Plans Hints Using the Database Engine Tuning Advisor Index Tuning Table and Index Structures Index Access Methods Indexing Strategies Module 2. Subqueries, Table Expression, and Ranking Functions Writing Subqueries Using Table Expressions Using Ranking Functions Module 3. Optimizing Joins and Set Operations Fundamental Join Types Join Algorithm Set Operations Using INTO with Set Operation Module 4. Aggregating and Pivoting Data Using the OVER Clause Different types of aggregations (Cumulative, Sliding and Year-To-Date) Pivoting and Unpivoting Setup Custom Aggregations Using GROUPING SETS Subclause CUBE and RULLUP Subclauses How to materialize Grouping Sets Module 5. Using TOP and APPLY SELECT TOP Using the APPLY table operator TOP n at the Group Level Implementing Paging Module 6. Optimizing Data Transformation Inserting data with Enhanced VALUES Clause Using the BULK Rowset Provider Using INSERT EXEC The Sequence Mechanisms DELETE with joins UPDATE with joins MERGE statement The OUTPUT Clause with INSERT The OUTPUT Clause with DELETE The OUTPUT Clause with UPDATE The OUTPUT Clause with MERGE Module 7. Querying Partitioned Tables Partitioning in SQL Server How to write queries on partitioned tables How to write queries on partitioned views |
| 3358 | Oracle 11g - SQL language for developers - Workshop | 35 hours | For who Workshops are dedicated as a first step for developers and designers of applications based on Oracle databases. Participants do not need to have any prior knowledge of the Oracle database, or other relational database systems, even though such knowledge may be useful. Exams and Certificates The plan covers the training material required to pass the exam 1Z0-047 Oracle Database SQL Expert and obtain the title of Oracle Database SQL Certified Expert Purpose of training The workshop aims to familiarize participants with the Oracle database techniques to build database structures and data manipulation. Particular emphasis is placed on the participant to see across the board, which offers opportunities to design and build applications Relational Database Management System, Oracle Database, and to be able to independently work with her. The content of the training Introduction to database technology and the organization of the work environment Acquisition and modification of data Construction of the repository application Safety and concurrency runtime Notes The workshops are based on the software version 11g XE Introduction to the Oracle database Database Architecture Relational model database Users diagrams sessions Tools Introduction to the SELECT statement Screening and selection (WHERE clause) Sorting Data types, operators, and service NULL Built-in scalar functions Actions to date National and regional settings in SQL The analysis of aggregated data Funkcje grupujące Klauzula distinct Klauzule GROUP BY and having Retrieving data from multiple tables Inner and outer joins (INNER JOIN, OUTER JOIN) ANSI SQL syntax, and other methods connectors (SELF JOIN, NATURAL JOIN) Collective operators (UNION, UNION ALL, INTERSECT, MINUS) Subqueries Subqueries simple Correlated subqueries Operators EXISTS and NOT EXISTS Other types of subqueries Inquiries hierarchical and samples Construction of the tree (CONNECT BY PRIOR clause and START WITH) The SYS_CONNECT_BY_PATH Data samples (SAMPLE clause) Data manipulation (DML) "INSTRUCCIONES INSERT, UPDATE, DELETE Operacja na dużych zbiorach (INSERT FIRST, ALL INSERT, MERGE) Dictionary system Concurrent users work Transactions Locks FLASHBACK Users and Permissions Creating and modifying user patterns Permissions and roles Managing data storage - logical layer Tables, temporary tables, index-organized tables Limitations Indexes The views, sequences, synonyms, materialized views Units stored PL / SQL Modeling and restore the data model using Oracle SQL Modeler Moving Data A logical copy of the data - datapump import and export Loading data - sqlLoader External tables Links database Automating tasks dbms_jobs, dbms_scheduler |
| osqlfun | ORACLE SQL Grundlagen | 21 hours | This 3 day course gives an introduction to SQL Developer, SQL*Plus and to SQL, the Structured Query Language used to access a Relational Database and includes the new features of the latest version of ORACLE. The principles learnt may also be applied to databases as diverse as Microsoft SQL Server, MySQL, Access, Informix and DB2. The course takes the format of a workshop, with a mix of lecture, working examples and practical exercises. Although the content may be customised, at least 2 days are needed to cover the core elements. Full course notes are provided along with sample database files, example SQL files and free software tools for use in accessing an ORACLE database. Introduction Overview Aims and Objectives Sample Data Schedule Introductions Pre-requisites Responsibilities Relational Databases The Database The Relational Database Tables Rows and Columns Sample Database Selecting Rows Supplier Table Saleord Table Primary Key Index Secondary Indexes Relationships Analogy Foreign Key Foreign Key Joining Tables Referential Integrity Types of Relationship Many to Many Relationship Resolving a Many-to-Many Relationship One to One Relationship Completing the Design Resolving Relationships Microsoft Access - Relationships Entity Relationship Diagram Data Modelling CASE Tools Sample Diagram The RDBMS Advantages of an RDBMS Structured Query Language DDL - Data Definition Language DML - Data Manipulation Language DCL - Data Control Language Why Use SQL? Course Tables Handout SQL*Plus SQL*Plus Login Easy Connect Using /NOLOG Using SQL*Plus Ending the Session SQL*Plus Commands SQL*Plus Environment SQL*Plus Prompt LOGIN.SQL File Changing the Password Finding Information about Tables Getting Help Where Clause Using SQL Files iSQL*Plus SQL*Plus Commands Data Retrieval SQL Developer SQL Developer - Connection Viewing Table Information Using SQL, Where Clause Using Comments Character Data Users and Schemas AND and OR Clause Using Brackets Date Fields Using Dates Formatting Dates Date Formats TO_DATE TRUNC Date Display Order By Clause DUAL Table Concatenation Selecting Text IN Operator BETWEEN Operator LIKE Operator Common Errors UPPER Function Single Quotes Finding Metacharacters Regular Expressions REGEXP_LIKE Operator Null Values IS NULL Operator NVL Accepting User Input Data Definition Creating a Table Datatypes Simple Create Example Naming Tables Constraints Not Null Primary Key Foreign Key Check Unique Altering Constraints Full Create Example Data Dictionary Alter Table Secondary Indexes B-tree Index Bitmap Index Create Index Explain Plan Using Indexes Clusters Partitioned Tables Creating a Partitioned Table Rename Drop Statement Flashback Table Managing the Recycle Bin Data Update Insert Some Values Insert All Values Insert Date Values Insert TO_DATE Default Values Using Substitution Variables Transactions Commit Rollback Using Constraints Update Date Arithmetic Update TO_DATE TRUNC Delete Truncate Sequences Grant Create Synonym Create Public Synonym Locking Revoke Savepoint Auto Commit Multi-Table Retrieval Calculations Precedence ROUND Function Column Alias Date Arithmetic Using Aliases CEIL and FLOOR Cartesian Product Table Join Table Alias Selecting the Join Column Joining without Selecting Views Dropping Views Finding Views Derived Columns With Check Option Snapshot Views Flashback Query Using Functions TO_CHAR TO_NUMBER LPAD RPAD NVL NVL2 Function DISTINCT Option SUBSTR INSTR Date Functions Aggregate Functions COUNT Group By Clause Rollup and Cube Modifiers Having Clause Grouping By Functions DECODE CASE Workshop Sub-Query & Union Single Row Sub-queries Union Union - All Intersect and Minus Multiple Row Sub-queries Union – Checking Data Outer Join More On Joins Joins Cross Join or Cartesian Product Inner Join Implicit Join Notation Explicit Join Notation Natural Join Equi-Join Cross Join Outer Joins Left Outer Join Right Outer Join Full Outer Join Using UNION Join Algorithms Nested Loop Merge Join Hash Join Reflexive or Self Join Single Table Join Workshop Advanced Queries ROWNUM and ROWID Top N Analysis Inline View Exists and Not Exists Correlated Sub-queries Correlated Sub-queries with Functions Correlated Update Snapshot Recovery Flashback Recovery All Any and Some Operators Insert ALL Merge Sample Data ORDER Tables FILM Tables EMPLOYEE Tables The ORDER Tables The FILM Tables PL/SQL What is PL/SQL? Why Use PL/SQL? Block Structure Sample Code SELECT Statement Using Variables Accepting User Input Exceptions Other DML Statements Creating Procedures Showing Errors Describe a Procedure Calling Procedures Creating and Running Functions Showing Errors Describe a Function Calling Functions Creating Triggers Showing Errors Query Optimisation Query Optimisation Creating The Tables Timing SQL Statements Other Timing Statements Explain Plan Creating the PLAN_TABLE Table Using SET AUTOTRACE Collecting Statistics Primary Key Secondary Indexes The Query Optimizer Rule Based Optimization Cost Based Optimization Choose Keyword Gathering Statistics Optimizer Hints How to Specify Hints Using Indexes Index Types B*tree Indexes Bitmap Indexes Index-organized table When to Create Indexes Choosing Composite Indexes Using Objects Object-oriented Database Object-relational Database Creating Objects Creating Tables with Objects Using Objects in Tables Large Object Support LOB Datatypes Creating Tables with LOBs Inserting an Empty LOB Creating Tables with BFILEs Creating Directories for BFILEs Inserting a BFILE SQL*PLUS REPORTS Objectives ACCEPT and PROMPT Define and Undefine Creating an SQL*Plus Report Break Command Compute Command Saving the Output in a File Utilities What is a Utility? Export Utility Using Parameters Using a Parameter file Import Utility Using Parameters Using a Parameter file Unloading Data Batch Runs SQL*Loader Utility Running the Utility Appending Data |
| 3331 | Oracle 11g - Advanced data analysis - workshops | 35 hours | For who These workshops are a continuation and complement the training of Oracle 11g data-analysis - a workshop dedicated to end users, data analysts and software testers for execution of professional duties which require more advanced techniques for working with the database. As in the case of the training of Oracle 11g data-analysis - workshops, participants do not need to be computer scientists, but the people who need efficient, and above all efficiently use the Oracle database, processing and analyzing stored in the large amounts of data Purpose of training The workshop aims to broaden the knowledge of participants about programming using PL / SQL and issues related to the optimization commands. Particular emphasis in this training is the performance of the data collection to ensure a smooth operation for very large amounts of data. In addition, workshops supplement an understanding of the elements necessary to any advanced user of Oracle in their daily work, such as copying and downloading large amounts of information, data modeling, modification of an existing data model and reverse engineering techniques using Oracle tools. The content of the training Moving and loading Procedural language PL / SQL allows you to expand the analytical capabilities of a SELECT statement Improving the performance of SQL queries Data modeling and acquisition and modification of the existing data model based on Oracle SQL Modeler Notes The workshops are based on the software version 11g XE Managing the data repository Control repository using the system dictionary, SQL script generation Creating tables and relationships with SQL Modeler Play schemes tables and relationships using reverse engineering and SQL Modeler Other repository objects: views, sequences, synonyms, temporary tables, stored routines System privileges and object-oriented database roles The programming language PL / SQL Basic information about the language, data types, variables, Deciding loops Embedding SQL statements in the code PL / SQL Stored subprograms: procedures and functions Handling errors and exceptions Query processing (cursors) The mass data operations (processing array) Generators data streaming functions Permissions in PL / SQL depending on model Triggers Running tasks The task scheduler Powerful scheduling mechanism (SCHEDULER) Methods for data transfer and charging Links database Loading data from text files external Tables Import / Export Data Database performance and tuning SQL statements Architecture database and instance Analysis of the plan to run a command to read the estimated costs and the actual Operation and control of Oracle optimizer with hints (hintów) The use of statistics and histograms Indexing data Optimize index readings Optimizing joins, sorts, and aggregation |
| 3319 | Data Analysis with Oracle 11g - workshop | 35 hours | For who Workshops are dedicated to end users, data analysts and software testers. Workshop participants do not need to be computer scientists, but employees who need efficiently and effectively use the Oracle database, processing and analyzing information contained in it Exams and Certificates The training plan includes, among others material required to pass the exam: 1Z0-051 Oracle Database 11g: SQL Fundamentals I, the first step to getting most certifications Oracle's Database Purpose of training The training is designed to familiarize participants with the Oracle database, the basic tools and techniques of data collection. Particular emphasis in this training is the acquisition of substantially correct and reliable data. The content of the training The organization of the working environment Introduction to the relational model of data storage Techniques for the collection, analysis and synthesis of information stored in the database Modify the information stored in the database Note The workshops are based on the software version 11g XE Introduction to the Oracle database Database Architecture Relational model database Users diagrams sessions Tools Introduction to the SELECT statement Screening and selection (WHERE clause) sorting Data types, operators, and service NULL Built-in scalar functions Actions to date National and regional settings in SQL Regular expressions The analysis of aggregated data grouping Functions DISTINCT clause The GROUP BY clause and HAVING. Summary (clauses ROLLUP, CUBE, GROUPING) Retrieving data from multiple tables Inner and outer joins (INNER JOIN, OUTER JOIN) ANSI SQL syntax, and other methods connectors (SELF JOIN, NATURAL JOIN) Collective operators (UNION, UNION ALL, INTERSECT, MINUS) Subqueries Subqueries simple Correlated subqueries Operators EXISTS and NOT EXISTS Other types of subqueries Inquiries hierarchical and samples Construction of the tree (CONNECT BY PRIOR clause and START WITH) The SYS_CONNECT_BY_PATH Data samples (SAMPLE clause) Analytic Functions Generating summaries Definition window Statistical Functions New features in Oracle 11g Inquiries Pivot (PIVOT, UNPIVOT) Tables and referential integrity Managing tables (CREATE, ALTER, DROP, RENAME) Referential integrity (constraints) Data manipulation (DML) INSTRUCCIONES INSERT, UPDATE, DELETE Operacja na dużych zbiorach (INSERT FIRST, ALL INSERT, MERGE) Concurrent users work Transactions Locks FLASHBACK Brief overview of schema objects vistas sequences indexes |
| sqlmsa | SQL in Microsoft Access | 14 hours | This SQL training course is for people who want to gain the necessary skills to extract and analyse data using Microsoft Access. Course members will learn: how to write SQL queries what relational databases are and how we can use them what are relations and how to create them the structure of data differences between SQL dialects (Oracle, T-SQL, ANSI) practical skills for writing queries This SQL course deals with Microsoft Access dialect of SQL. RDBMS (Relational DataBase Management System) Relational Operators SQL as Declarative Language SQL Syntax SQL Sublanguages DQL, DML, DDL, DCL DQL (Data Query Language) in Detail SELECT clause Column aliases Table aliases Date types and Date functions Group function Table joins JOIN clause UNION operator Nested queries Correlated subqueries DML (Data Manipulation Language) Overview Inserting rows (INSERT) Inserting rows using subquery Updating rows (UPDATE) Deleting rows (DELETE) DDL (Data Definition Language) Overview Creating, altering and dropping objects (CREATE, ALTER, DROP) Creating tables using subquery (CREATE TABLE .... AS SELECT...) CONSTRAINTS Overview NULL i NOT NULL CONSTRAINT clause ENUM type SET type PRIMARY KEY UNIQUE FOREIGN KEY DEFAULT clause Transactions Overview COMMIT ROLLBACK SAVEPOINT Implicit and explicit rollbacks and commits SQL Dialects Overview MySQL Microsoft Access and SQL Server Oracle and PostgreSQL |
| oplsqlfun | ORACLE PL/SQL Grundlagen | 21 hours | This 3 day course gives an introduction to ORACLE PL/SQL, an application development environment that enables the writing of stored procedures, functions and triggers using both SQL and PL/SQL commands. The course takes the format of a workshop, with a mix of lecture, working examples and practical exercises. Although the content may be customised, at least 2 days are needed to cover the core elements. Full course notes are provided along with sample database files, example SQL files and free software tools for use in accessing an ORACLE database. Introduction Aims and Objectives Course Schedule Introductions Pre-requisites Responsibilities SQL Tools Objectives SQL Developer SQL Developer - Connection Viewing Table Information Using SQL, SQL Developer - Query SQL*Plus Login Direct Connection Using SQL*Plus Ending the Session SQL*Plus Commands SQL*Plus Environment SQL*Plus Prompt Finding Information about Tables Getting Help Using SQL Files iSQL*Plus, Entity Models The ORDERS Tables The FILM Tables Course Tables Handout SQL Statement Syntax SQL*Plus Commands What is PL/SQL? What is PL/SQL? Why Use PL/SQL? Block Structure Displaying a Message Sample Code Setting SERVEROUTPUT Update Example, Style Guide Variables Variables Datatypes Setting Variables Constants Local and Global Variables %Type Variables Substitution Variables Comments with & Verify Option && Variables Define and Undefine SELECT Statement SELECT Statement Populating Variables %Rowtype Variables CHR Function Self Study PL/SQL Records Example Declarations Conditional Statement IF Statement SELECT Statement Self Study Case Statement Trapping Errors Exception Internal Errors Error Code and Message Using No Data Found User Exceptions Raise Application Error Trapping Non-defined Errors Using PRAGMA EXCEPTION_INIT Commit and Rollback Self Study Nested Blocks Workshop Iteration - Looping Loop Statement While Statement For Statement Goto Statement and Labels Cursors Cursors Cursor Attributes Explicit Cursors Explicit Cursor Example Declaring the Cursor Declaring the Variable Open, Fetching the First Row Fetching the Next Row Exit When %Notfound Close For Loop I For Loop II Update Example FOR UPDATE FOR UPDATE OF WHERE CURRENT OF Commit with Cursors Validation Example I Validation Example II Cursor Parameters, Workshop Workshop Solution Procedures, Functions and Packages Create Statement Parameters Procedure Body Showing Errors Describe a Procedure Calling Procedures Calling Procedures in SQL*Plus Using Output Parameters Calling with Output Parameters Creating Functions Example Function Showing Errors Describe a Function Calling Functions Calling Functions in SQL*Plus Modular Programming Example Procedure Calling Functions Calling Functions In An IF Statement Creating Packages Package Example Reasons for Packages Public and Private Sub-programs Showing Errors Describe a Package Calling Packages in SQL*Plus Calling Packages From Sub-Programs Dropping a Sub-Program Finding Sub-programs Creating a Debug Package Calling the Debug Package Positional and Named Notation Parameter Default Values Recompiling Procedures and Functions Workshop Triggers Creating Triggers Statement Triggers Row Level Triggers WHEN Restriction Selective Triggers - IF Showing Errors Commit in Triggers Restrictions Mutating Triggers Finding Triggers Dropping a Trigger Generating an Auto-number Disabling Triggers Enabling Triggers Trigger Names Sample Data ORDER Tables FILM Tables EMPLOYEE Tables Dynamic SQL SQL in PL/SQL Binding Dynamic SQL Native Dynamic SQL DDL and DML DBMS_SQL Package Dynamic SQL - SELECT Dynamic SQL - SELECT Procedure Using Files Using Text Files UTL_FILE Package Write/Append Example Read Example Trigger Example DBMS_ALERT Packegs DBMS_JOB Package COLLECTIONS %Type Variables Record Variables Collection Types Index-By Tables Setting Values Nonexistent Elements Nested Tables Nested Table Initialisation Using the Constructor Adding to a Nested Table Varrays Varray Initialization Adding Elements to a Varray Multilevel Collections Bulk Bind Bulk Bind Example Transactional Issues BULK COLLECT Clause RETURNING INTO Ref Cursors Cursor Variables Defining REF CURSOR Types Declaring Cursor Variables Constrained and Unconstrained Using Cursor Variables Cursor Variable Examples |
| teraintro | Teradata Fundamentals | 21 hours | Teradata is one of the popular Relational Database Management System. It is mainly suitable for building large scale data warehousing applications. Teradata achieves this by the concept of parallelism. This course introduces the delegates to Teradata Introduction to Teradata Background Why use Teradata User Scalability Relational Concepts Introduction to RDBMS Warehousing Concepts Set Up and Installation Installation Tools and Utilities like BTEQ Teradata Architecture Components Node Parsing Engine Message Parsing Layer - BYNET Access Module Processor Storage Architecture Retrieval Architecture Architectural Overview Teradata Basic Concepts - SQL Data Type Tables Permanent Volatile Global Temporary Derived Set v/s Multiset Tables Playing with Data - CRUD Operations [DDL and DML] Logical and Conditional Operators SET Operators String Manipulation Date/Time Built in and Aggregate Functions Joins and Subqueries Indexes Primary Secondary Teradata Advanced Concepts Case Coalesce Macros Stored Procedures Space Temp Spool Permanent Join Strategies Statistics Compression Hashing Algorithm OLAP Functions User Management Teradata Additional Concepts Utilities FastLoad MultiLoad FastExport BTEQ Data Protection Methodologies Optimization Strategies Note: The Training would be a mix of theory and handson, and it would be helpful if the delegates actively particpate in the given exercises. |
| mariadbgc | MariaDB Galera Cluster Administration | 21 hours | This course is intended for database administrators. The course presents options for High-Availability solutions using Galera Cluster. You will learn the basics of Galera technology, as well as more advanced topics and practical knowledge related to configuring, optimizing and administering a Galera Cluster. Topic overview Why I need them and what are High-Availability solutions? Cluster concepts What is MariaDB Galera Cluster and what it offers to my organization? Galera Cluster Management How to start with Galera - what should I now before installation? Architecture and functionality First steps - Installation Going deeper - Configuration and Set-up Almost like a pro - Administration Performance Operations and operation modes Upgrade Galera Backups and restoring Controlling state transfer between nodes Load balancing Monitoring How to deal with Galera multi- master configuration Advanced features Security Scalability Replication Advanced configuration |
| 3082 | Microsoft Access - Datendownload | 14 hours | The course is designed for persons with pre-information databases using SQL queries or queries. Queries The types of queries Query Wizard Query Design View query Properties Grouping in Queries Create a simple select query Crosstab queries Query the search duplicates Not matching the search query data Parameter queries Queries (forming a table, delete, append, updating) Create a table with a query Archiving data using an append query Troubleshoot queries Expressions in Queries Examples of the use of expressions Calculations in queries Functions SQL in Access Download the data Restrict results Sorting Data SQL Functions Aggregating data using the grouping Retrieving data from multiple tables subqueries Operators collective |
| mariadbadmin | MariaDB Datenbankverwaltung | 14 hours | MariaDB Administration training course is for anyone who wants to administrate the MariaDB database server. It is a comprehensive course covering all administrator duties. The course explains how MariaDB Database works, what tools are available, how we can use them, how we can secure the MariaDB Database Server and configure it. During the training course you will learn how to manage user accounts and how the MariaDB Access Privilege System works. You also will learn how to maintain your database, backup and recover your databases and perform crash recovery. Installing MariaDB server Installing in Ubuntu/Debian Installing in other Linux Distributions Installation on Windows MariaDB Server Files and Scripts MariaDB Programs MariaDB Server MariaDB Client GUI Tools MariaDB Server Configuration Server Options The Server SQL Mode Server System Variables Dynamic System Variables Server Status Variables Shutdown Process MariaDB Security Issues Securing MariaDB Against Attacks Security-Related Options Security Issues with LOAD DATA LOCAL MariaDB Access Privilege System MariaDB Privilege System Overview Privileges Provided by MariaDB Connecting to the MariaDB Server - Stages Access Control, Stage 1: Connection Verification Access Control, Stage 2: Request Verification Access Denied Errors MariaDB User Account Management Users and Passwords Creating New Users Deleting User Accounts Limiting User Resources Changing Passwords MariaDB Database Maintenance Backup and Recovery Point-in-Time Recovery Maintenance and Crash Recovery myisamchk Syntax and Options Getting Table Information MariaDB Local Setting National Characters and Sorting MariaDB Server Time Zone MariaDB Log Files Error Log General Query Log Update Log Binary Log Slow Query Log Log File Maintenance and Rotation Running Multiple MariaDB Servers on the Same Machine Running Multiple Servers in Windows Running Multiple Servers in Windows as Services Running Multiple Servers in Unix and Linux Using Client Tools in a Multi-Server Environment MariaDB Query Cache The Concept of Query Cache Testing Query Cache with SELECT Configuring Query Cache Checking Query Cache Status and Maintenance |
| advsqlpt | SQL für Fortgeschrittene, gespeicherte Verfahrensweise und Auslöser für Microsoft SQL Server | 14 hours | The aim of this course is to provide a clear understanding of the advanced use of (SQL) for Microsoft SQL Server and the advanced use of Transact-SQL. For more in depth coverage of the topics this course can be run as a three day course. Review of Structured Query Language DQL, DML, DDL The GROUP BY, HAVING Clause Sub-queries and Correlated Sub-queries Advanced Update & Delete Statements Sub-queries Correlated Sub-queries Procedural Programming Variables Control-Of-Flow Statements IF, WHILE, CASE, GOTO, RETURN Managing Errors Responding To Errors RAISERROR PRINT Using Transactions Introduction To Transactions Transaction Isolation Levels Deadlocks Transactional Error Handling Implementing Cursors Declaring Cursors OPEN, FETCH, CLOSE DEALLOCATE CURRENT OF Stored Procedures Creating Stored Procedures Passing values into a Stored Procedure Returning Information From Stored Procedures Altering Stored Procedures Triggers Creating Triggers Transactional Error Handling Using Inserted and Deleted Tables |
| mariadbdev | MariaDB 10 Developer Course | 28 hours | Created DBAs, Administrators and developers who are interested with getting involved in MariaDB 10 based on Linux system. Even beginners, who have the basic skill and knowledge on Linux, can catch up with this course just if you follow the instructor's lab and explanation in detail. This course is intended to practice enough Database Concept and SQL and to show it is very easy to understand how to use SQL and manage MariaDB on Linux system. This course will be delivered to audience with 40% lectures, 50% labs and 10% Q&A. This five-day course strongly emphasizes lab-based activities After this course, you can apply the knowledge, which you obtained through this course, to the other database systems such as MySQL, Oracle Database, MSSQL Server and PostgreSQL as well. It can be deliver on any distribution (Ubuntu, CentOS are commonly used) This course covers these kinds of topics: Chapter 00 MariaDB 10 Developer Course Introduction Chapter 01 MariaDB 10 Introduction Chapter 02 Startup MariaDB 10 Chapter 03 MariaDB Tools - Command & GUI Chapter 04 Retrieving Data using SQL Chapter 05 Filtering Data using SQL Chapter 06 Summarizing, Grouping & Combining Chapter 07 Database, Table & Indexes Chapter 08 Inserting, Updating & Deleting Data Chapter 09 Table Joins Chapter 10 Subqueries Chapter 11 Views Chapter 12 Stored Procedures Chapter 13 Triggers Chapter 14 MariaDB Datatypes Chapter 15 Transaction Processing Chapter 16 MariaDB User Management Chapter 17 MariaDB Client Tools |
| transsqladv | Transact SQL für Fortgeschrittene | 7 hours | Delegates will gain an understanding of some of the more advanced features of Transact SQL as well as being able to do each of the following: Use queries to return complex result sets Manage database objects to aid query performance Tune queries to perform more efficiently This course is for anyone who currently uses Transact SQL to extract data from a Microsoft SQL Server database and wishes to expand their knowledge particularly in the areas of data analysis and improving query speed. Analytical Functions Use of advanced summary functions Use of hierarchical queries Use of analytical summary functions, e.g. moving averages, running totals Use of ranking functions Useful Database Objects Principles of using indexes How to create and maintain an index Use of clustered tables Use of partitioned tables Use of metadata in the master database Query Performance Tracing Principles of query execution and optimisation Use of Execution Plan Use of table & index statistics Use of hints Basic Data Warehouse Techniques Use of Indexed Views Use of Dimension & fact tables Use of Star & Snowflake designs |
| 3033 | Verwalten von Microsoft SQL Servern | 21 hours | Szkolenie skierowane do administratorów, projektantów i programistów baz danych. Cele szkolenia: zdobycie i ugruntowanie umiejętności z zakresu tworzenia i zarządzania bazami danych poznanie składni i wykorzystania języka SQL do pobierania i modyfikowania danych stosowanie zasad bezpieczeństwa w bazie danych wykorzystanie elementów zaawansowanych (replikacja, automatyzacja, BI) wykorzystanie możliwości Microsoft SQL Server do tworzenia złożonych raportów i rozwiązań dla programistów Podstawowe wiadomości o bazach danych Bazy plikowe, bazy Client/Server Systemy zarządzania relacyjną bazą danych (RDBMS) Wersje SQL Server i różnice między nimi Express, Standard, Enterprise Workgroup, Mobile , Developer Narzędzia SQL Server SQL Server Management Studio SQL Server Agent Usługi w SQL Server Database Services Analysis Services Reporting Services Intergration Services Bazy systemowe Master Model Msdb Tempdb Distribution Resource Tworzenie bazy danych Pliki bazy i ich lokalizacja Rozmiar plików oraz ich przyrost Partycjonowanie tabel Język modyfikacji danych (DML) INSERT UPDATE DELETE Język definicji danych (DDL) Projektowanie tabel Kolumny i atrybuty Określenie typu danych Indeksy i klucze Indeksy Clustered Indexes Non-Clustered Indexes REBUILD vs. REORGANIZE Tworzenie aplikacji bazodanowych Programowanie po stronie serwera Procedury Widoki Funkcje Wyzwalacze Modele odtwarzania Simple Full Bulk logged Kopie bezpieczeństwa Pełna kopia bazy danych Przyrostowa kopia bazy danych Kopia dziennika transakcyjnego Strategie kopii zapasowych Strategia pełnych kopii bazy danych Strategia pełnych kopii i dziennika transakcyjnego Strategia przyrostowych kopii bazy danych Strategia kopii plików bazy danych Podstawy bezpieczeństwa i administracji SQL Server Automatyzacja Maintenance Plan Podstawy bezpieczeństwa i administracji SQL Server Tworzenie kont Konto SA Role Serwerowe Role bazodanowe Schematy Wysoka dostępność Log Shipping Database Mirroring Server Clustering Replikacja Replikacja migawkowa (Snapshot Replication) Replikacja transakcyjna (Transactional Replication) Replikacja przez scalanie (Merge Replication) Monitorowanie aktywności SQL Server SQL Server Profiler Upgrade In-Place vs. Migracja Service-Pack Cluster Best Practices |
| dnswebmaildb | Top 4 Linux/Unix Servers - DNS,Web,Mail and Database | 35 hours | Created Linux/Unix Administrators and developers who are interested with getting involved in LInux/Unix Servers Even beginners, who have the basic skill and knowledge on Linux, can catch up with this course just if you follow the instructor's lab and explanation in detail. This course is intended to practice enough Managing Linux Servers and to show it is very easy to understand Linux/Unix servers. This course will be delivered to audience with 40% lectures, 50% labs and 10% Q&A. This five-day course strongly emphasizes lab-based activities. You'll learn how to deploy and manage Top 4 Linux Servers that provide highly useful network services to a mission-critical enterprise environment. It can be deliver on any distribution (Fedora, CentOS are commonly used) This course covers these kinds of topics: Bind as a ;DNS server Apache as a Web Server Postfix as a Mail Server MariaDB as a Database Server Through this course, you will learn from the installation to High level features of each server. |
| osqlbgn | Oracle SQL für Anfänger | 21 hours | Listeners This training is addressed for people starting to work with the SQL language in Oracle database The course answer for questions: How to build a query? What possibilities have SQL? What is a relational database? What is the structure and SQL commands Relational database models The structure of a relational database Connection types of tables The normalization and denormalization database Relational Operators Download the data Rules for writing SQL queries The syntax for the SELECT Selecting all columns Inquiries from arithmetic operations Aliases columns Literals Concatenation operator Limiting results The WHERE clause Comparison operators LIKE Condition Prerequisite BETWEEN ... AND IS NULL condition Condition IN Boolean operators AND, OR and NOT Many of the conditions in the WHERE clause The order of the operators. DISTINCT clause Sorting Data The ORDER BY clause Sorting by multiple columns or expressions SQL functions The differences between the functions of one and multilines Features text, numeric, date, Explicit and implicit conversion Conversion functions Nesting functions Viewing the performance of the functions - dual table Getting the current date function SYSDATE Handling of NULL values Aggregating data using the grouping Grouping functions How grouping functions treat NULL values Create groups of data - the GROUP BY clause Grouping multiple columns Limiting the function result grouping - the HAVING clause Retrieving data from multiple tables Types of connectors The use NATURAL JOIN Aliases tables Joins in the WHERE clause INNER JOIN Inner join External Merge LEFT, RIGHT, FULL OUTER JOIN Cartesian product Subqueries Place subqueries in the SELECT command Subqueries single and multi-lineage Operators Subqueries single-line Features grouping in subquery Operators Subqueries multi-IN, ALL, ANY How NULL values are treated in subqueries Operators collective UNION operator UNION ALL operator INTERSECT operator MINUS operator Insert, update, and delete data INSERT command Copy data from another table UPDATE command DELETE command TRUNCATE command Transactions Commands COMMIT, ROLLBACK, and SAVEPOINT DDL commands The main database objects Rules for naming objects Creating tables The data types available for columns DEFAULT option Option NULL and NOT NULL Managing tables Referential integrity CHECK, PRIMARY KEY, FOREIGN KEY, UNIQUE Create a table by the query Delete a table DROP TABLE DESCRIBE command Other schema objects Sequences Synonyms Views |
| osqladv | Oracle SQL für Fortgeschrittene | 14 hours | Listeners This course is designed for people who want to use the advanced features of SQL in Oracle The course answers the questions How to build advanced queries? How to create advanced reports? Control user access User Management System permissions and object Granting Receiving permission Roles Using the links Managing schema objects ALTER TABLE command Adding, modifying, and deleting columns Add, remove, turn off constraintów Create indexes Flashback operations External tables Operations on large data sets MERGE command DML operations of podzapytaniami DML operations with RETURNING clause INSERT command multi tables Conditional expressions CASE expression DECODE expression Generate reports by grouping related data The GROUP BY clause The HAVING clause Aggregating data - ROLLUP and CUBE operators Identification summaries - GROUPING function Aggregating data - GROUPING SETS operator Managing data in different time zones Time zones Variations TIMESTAMP Differences between DATE and TIMESTAMP Conversion operations Advanced subqueries Subqueries Multi-column subqueries The subquery in the FROM clause Correlated subqueries WITH clause - re-use query blocks Join tables Inequality in the WHERE clause and the FROM clause Semijoin Antijoin The processing of hierarchical data The tree structure hierarchical Queries Pseudo column Sort data in a hierarchical query Useful functions Regular expressions Simple and complex patterns |
| 3057 | Oracle SQL Sprache | 14 hours | The course answers questions How to build a query? What possibilities have SQL? What is a relational database? What is the structure and SQL commands Relational database models The structure of a relational database Connection types of tables The normalization and denormalization database Database Management System (RDBMS) Relational Operators Characteristics of declarative SQL language SQL Syntax Division language DQL, DML, DDL, DCL Language DQL (Data Query Language) SELECT queries Aliases columns, tables Service date (DATE types, display functions, formatting) Group Features Combining internal and external tables UNION operator Nested Subqueries (the WHERE clause, the table name, column name) Correlated subqueries Data Modification Language Wstawianie wierszy (klauzla INSERT) Wstawianie wierszy poprzez zapytanie Zmiana zawartości wierszy (UPDATE) Usuwanie wierszy (DELETE) Data Definition Language Create, change of ownership, remove tables (CREATE, ALTER, DROP) Creating tables by asking (CREATE TABLE .... AS SELECT ...) CONSTRAINTS Options NULL and NOT NULL CONSTRAINT clause Condition PRIMARY KEY Condition UNIQUE Condition FOREIGN KEY DEFAULT clause Transactions The command COMMIT, ROLLBACK, SAVEPOINT Language DCL Granting and revoking permissions (GRANT, REVOKE) Roles Creating Users sequences Synonyms The views (perspective) |
| 3308 | Oracle 11g - SQL-Sprache für verwaltende Tätigkeiten | 21 hours | For who The workshop is intended for beginners, starting to work with the Oracle database, future administrators and users of systems based on this database need able to use the SQL language for the extraction and modification of the information contained in the systems. Exams and Certificates The training plan coincides with the material required to pass the exam: 1Z0-051 Oracle Database 11g: SQL Fundamentals I, the first step to getting most certifications Oracle's Database Purpose of training The workshop aims to introduce participants to work with the Oracle database, making them familiar with the SQL language to the extent required for the efficient operation of the system and to take in the future obligations of database applications and Oracle databases. The content of the training The organization of the working environment Introduction to relational databases Extraction of the data using the SELECT statement Modifying data using INSERT, UPDATE, DELETE Overview of schema objects Remarks The workshops are based on 11g XE software Introduction to Oracle Database Architecture Relational model database Users diagrams sessions Tools Introduction to the SELECT statement Screening and selection (WHERE clause) sorting Data types, operators, and service NULL Built-in scalar functions Actions to date National and regional settings in SQL Regular expressions The analysis of aggregated data Grouping functions DISTINCT clause Clauses GROUP BY and HAVING Retrieving data from multiple tables Inner and outer joins (INNER JOIN, OUTER JOIN) ANSI SQL syntax, and other methods connectors (SELF JOIN, NATURAL JOIN) Collective operators (UNION, UNION ALL, INTERSECT, MINUS) Subqueries Subqueries simple Correlated subqueries Operators EXISTS and NOT EXISTS Other types of subqueries Inquiries hierarchical and samples Construction of the tree (CONNECT BY PRIOR clause and START WITH) The SYS_CONNECT_BY_PATH Data samples (SAMPLE clause) Data manipulation (DML) INSERT, UPDATE, DELETE Operations on a large set of (INSERT FIRST INSERT ALL, MERGE) Concurrent users work Transactions Locks FLASHBACK Overview of schema objects Vistas Sequences Synonyms private and public Indexes |
Kommende Kurse
| Course | Schulungsdatum | Kurspreis (Fernkurs / Schulungsraum) |
|---|---|---|
| Data Analysis with Oracle 11g - workshop - Erfurt | Mo, 2017-10-09 09:30 | 6300EUR / 6700EUR |
| Oracle SQL Intermediate - Hannover | Di, 2017-10-10 09:30 | 1750EUR / 2250EUR |
| SQL Fundamentals - Bremen | Mi, 2017-10-11 09:30 | 1930EUR / 2430EUR |
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