Lokale, instruktorierte Live-Apache-Kafka-Schulungen demonstrieren durch interaktive Diskussionen und praktische Übungen, wie ein Kafka-Nachrichtenbroker eingerichtet und betrieben wird Kafka-Training ist als "Live-Training vor Ort" oder "Fern-Live-Training" verfügbar Onsite Live Training kann vor Ort bei Kunden durchgeführt werden Deutschland oder in NobleProg Corporate Trainingszentren in Deutschland Remote-Live-Training wird über einen interaktiven Remote-Desktop durchgeführt Kafka-Schulungen behandeln die Integration von Kafka mit anderen Big Data-Systemen sowie den Aufbau von Echtzeit-Datenpipelines für Streaming-Anwendungen NobleProg Ihr lokaler Trainingsanbieter.
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Erfahrungsberichte
Die Übungen, und vor allem, wenn sie nicht funktionierten (offensichtlich ist mein Fehler, aber die Fehlersuche ist Teil des Jobs).
Peter Hendriks
Kurs: Distributed Messaging with Apache Kafka
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Ich mochte vor allem das Wissen des Trainers.
Christian Langer
Kurs: Distributed Messaging with Apache Kafka
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Dass jedes Thema eine Erweiterung des vorherigen war. Der Trainer war sehr nett und hilfsbereit.
Pavel Ignatov - Пейсейф България ЕООД
Kurs: Microservices with Spring Cloud and Kafka
Machine Translated
Der Lehrer gibt seine Zeit, um die Themen zu erklären, und wir sehen viel im Detail in der Frage der Installation der notwendigen Software, um kafka corriendp zu haben
Juan Manuel Del Alto - Hewlett Packard Centro de Servicios Globales S de RL
Kurs: Distributed Messaging with Apache Kafka
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Informativ und hatte den richtigen Detaillierungsgrad, glaube ich.
Asif Akhtar
Kurs: Distributed Messaging with Apache Kafka
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Ich habe wirklich von dem leicht zu folgen profitiert.
Zach Henke
Kurs: Distributed Messaging with Apache Kafka
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Ich mochte die Detailerklärungen, gut vorbereitetes Dokument.
Allen Jeong
Kurs: Distributed Messaging with Apache Kafka
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Ich habe von der praktischen Beratung profitiert (für Kafka Konfiguration und Management).
OLAmobile
Kurs: Distributed Messaging with Apache Kafka
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Ich habe von den praktischen Beispielen profitiert, Trainer neu, wovon er spricht.
Rumos
Kurs: Distributed Messaging with Apache Kafka
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Der Trainer kennt Kafka sehr gut und hat viel Produktionserfahrung in der Sache.
Matej Puntra
Kurs: Distributed Messaging with Apache Kafka
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Das Training wurde in die Richtung gelenkt, die das Team wollte. Der Trainer ist zu gut mit umfangreichen Erfahrungen im Umgang mit Konzepten wie Skalierbarkeit, Leistung, Entwicklungs- und Bereitstellungsstandards und sehr schnellen Schulungen zur Beantwortung von Fragen auf verschiedenen Ebenen wie Code, Design, Architektur und Best Practices usw.
Sarita Velagapudi - Welcome Real-time (ASPAC) Pte Ltd
Kurs: Distributed Messaging with Apache Kafka
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Konzepte, die Art, wie es präsentiert wurde, sehr kommunikativ, sehr hilfreich, breites Wissen.
Sreenivasulu Narasingu - Welcome Real-time (ASPAC) Pte Ltd
Kurs: Distributed Messaging with Apache Kafka
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Am meisten hat mir die Menge der behandelten Themen gefallen.
Ipreo
Kurs: Distributed Messaging with Apache Kafka
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In der Lage sein, leicht mit dem Trainer zu sprechen.
VSC Technologies
Kurs: Distributed Messaging with Apache Kafka
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Der Ansatz des Coaches, der Weg, Wissen zu vermitteln.
Ośrodek Przetwarzania Informacji-Państwowy Instytut Badawczy
Kurs: Distributed Messaging with Apache Kafka
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Art der Durchführung, praktische Übungen
darek lesiak - Ośrodek Przetwarzania Informacji-Państwowy Instytut Badawczy
Kurs: Distributed Messaging with Apache Kafka
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Themen
Ośrodek Przetwarzania Informacji-Państwowy Instytut Badawczy
Kurs: Distributed Messaging with Apache Kafka
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Interaktivität, Kontakt mit dem Trainer und seine Objektivität
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Kurs: Distributed Messaging with Apache Kafka
Machine Translated
Guter Kontakt zu Zuhörern, großes Wissen des Trainers.
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Kurs: Distributed Messaging with Apache Kafka
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Interessante Beispiele für Übungen
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Kurs: Distributed Messaging with Apache Kafka
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Interessante Übungen, die Architektur und Funktionsweise von Apache Kafka auf Diagrammen darstellen.
Damian Niesteruk - Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Kurs: Distributed Messaging with Apache Kafka
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Wissen ist zweifellos ein Vorteil des Dozenten.
Ośrodek Przetwarzania Informacji-Pańswowy Instytut Badawczy
Kurs: Distributed Messaging with Apache Kafka
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Neufassung/Überprüfung der Schlüsselpunkte der diskutierten Themen.
Paolo Angelo Gaton - SMS Global Technologies Inc.
Kurs: Building Stream Processing Applications with Kafka Streams
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-
Roxane Santiago - SMS Global Technologies Inc.
Kurs: Building Stream Processing Applications with Kafka Streams
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Die Laborübungen. Anwendung der Theorie ab dem ersten Tag in den folgenden Tagen.
Dell
Kurs: A Practical Introduction to Stream Processing
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Der Trainer verfügte über so umfangreiche Kenntnisse und Erfahrungen, dass er alle Fragen im Bereich der Ausbildung beantworten konnte. Sie mussten sie nur fragen.
Powszechny Zakład Ubezpieczeń Spółka Akcyjna
Kurs: Kafka for Administrators
Machine Translated
Gutes Verhältnis von Theorie zu Übung, nette Fähigkeit, die Zuhörer während der Theorie zu interessieren
Powszechny Zakład Ubezpieczeń Spółka Akcyjna
Kurs: Kafka for Administrators
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Alles.
Jean-Michel Bidon
Kurs: Kafka for Administrators
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Kafka Kurspläne
Name des Kurses
Dauer
Überblick
Name des Kurses
Dauer
Überblick
14 Stunden
This course is for enterprise architects, developers, system administrators and anyone who wants to understand and use a high-throughput distributed messaging system. If you have more specific requirements (e.g. only system administration side), this course can be tailored to better suit your needs.
14 Stunden
Apache Samza is an open-source near-realtime, asynchronous computational framework for stream processing. It uses Apache Kafka for messaging, and Apache Hadoop YARN for fault tolerance, processor isolation, security, and resource management.
This instructor-led, live training introduces the principles behind messaging systems and distributed stream processing, while walking participants through the creation of a sample Samza-based project and job execution.
By the end of this training, participants will be able to:
- Use Samza to simplify the code needed to produce and consume messages.
- Decouple the handling of messages from an application.
- Use Samza to implement near-realtime asynchronous computation.
- Use stream processing to provide a higher level of abstraction over messaging systems.
Audience
- Developers
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
This instructor-led, live training introduces the principles behind messaging systems and distributed stream processing, while walking participants through the creation of a sample Samza-based project and job execution.
By the end of this training, participants will be able to:
- Use Samza to simplify the code needed to produce and consume messages.
- Decouple the handling of messages from an application.
- Use Samza to implement near-realtime asynchronous computation.
- Use stream processing to provide a higher level of abstraction over messaging systems.
Audience
- Developers
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
7 Stunden
Kafka Streams is a client-side library for building applications and microservices whose data is passed to and from a Kafka messaging system. Traditionally, Apache Kafka has relied on Apache Spark or Apache Storm to process data between message producers and consumers. By calling the Kafka Streams API from within an application, data can be processed directly within Kafka, bypassing the need for sending the data to a separate cluster for processing.
In this instructor-led, live training, participants will learn how to integrate Kafka Streams into a set of sample Java applications that pass data to and from Apache Kafka for stream processing.
By the end of this training, participants will be able to:
- Understand Kafka Streams features and advantages over other stream processing frameworks
- Process stream data directly within a Kafka cluster
- Write a Java or Scala application or microservice that integrates with Kafka and Kafka Streams
- Write concise code that transforms input Kafka topics into output Kafka topics
- Build, package and deploy the application
Audience
- Developers
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Notes
- To request a customized training for this course, please contact us to arrange
In this instructor-led, live training, participants will learn how to integrate Kafka Streams into a set of sample Java applications that pass data to and from Apache Kafka for stream processing.
By the end of this training, participants will be able to:
- Understand Kafka Streams features and advantages over other stream processing frameworks
- Process stream data directly within a Kafka cluster
- Write a Java or Scala application or microservice that integrates with Kafka and Kafka Streams
- Write concise code that transforms input Kafka topics into output Kafka topics
- Build, package and deploy the application
Audience
- Developers
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Notes
- To request a customized training for this course, please contact us to arrange
21 Stunden
In this instructor-led, live training in Deutschland (onsite or remote), participants will learn how to set up and integrate different Stream Processing frameworks with existing big data storage systems and related software applications and microservices.
By the end of this training, participants will be able to:
- Install and configure different Stream Processing frameworks, such as Spark Streaming and Kafka Streaming.
- Understand and select the most appropriate framework for the job.
- Process of data continuously, concurrently, and in a record-by-record fashion.
- Integrate Stream Processing solutions with existing databases, data warehouses, data lakes, etc.
- Integrate the most appropriate stream processing library with enterprise applications and microservices.
By the end of this training, participants will be able to:
- Install and configure different Stream Processing frameworks, such as Spark Streaming and Kafka Streaming.
- Understand and select the most appropriate framework for the job.
- Process of data continuously, concurrently, and in a record-by-record fashion.
- Integrate Stream Processing solutions with existing databases, data warehouses, data lakes, etc.
- Integrate the most appropriate stream processing library with enterprise applications and microservices.
14 Stunden
This instructor-led, live training (online or onsite) is aimed at engineers who wish to use Confluent (a distribution of Kafka) to build and manage a real-time data processing platform for their applications.
By the end of this training, participants will be able to:
- Install and configure Confluent Platform.
- Use Confluent's management tools and services to run Kafka more easily.
- Store and process incoming stream data.
- Optimize and manage Kafka clusters.
- Secure data streams.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- This course is based on the open source version of Confluent: Confluent Open Source.
- To request a customized training for this course, please contact us to arrange.
By the end of this training, participants will be able to:
- Install and configure Confluent Platform.
- Use Confluent's management tools and services to run Kafka more easily.
- Store and process incoming stream data.
- Optimize and manage Kafka clusters.
- Secure data streams.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- This course is based on the open source version of Confluent: Confluent Open Source.
- To request a customized training for this course, please contact us to arrange.
7 Stunden
Apache Kafka is a distributed streaming platform. It is de facto a standard for building data pipelines and it solves a lot of different use-cases around data processing: it can be used as a message queue, distributed log, stream processor, etc.
We'll start with some theory behind data pipelines in general, then continue with fundamental concepts behind Kafka. We'll also discover important components like Kafka Streams and Kafka Connect.
We'll start with some theory behind data pipelines in general, then continue with fundamental concepts behind Kafka. We'll also discover important components like Kafka Streams and Kafka Connect.
21 Stunden
This instructor-led, live training in Deutschland (online or onsite) is aimed at developers who wish to transform traditional architecture into a highly concurrent microservices-based architecture using Spring Cloud, Kafka, Docker, Kubernetes and Redis.
By the end of this training, participants will be able to:
- Set up the necessary development environment for building microservices.
- Design and implement a highly concurrent microservices ecosystem using Spring Cloud, Kafka, Redis, Docker and Kubernetes.
- Transform monolithic and SOA services to microservice based architecture.
- Adopt a DevOps approach to developing, testing and releasing software.
- Ensure high concurrency among microservices in production.
- Monitor microservices and implement recovery strategies.
- Carry out performance tuning.
- Learn about future trends in microservices architecture.
By the end of this training, participants will be able to:
- Set up the necessary development environment for building microservices.
- Design and implement a highly concurrent microservices ecosystem using Spring Cloud, Kafka, Redis, Docker and Kubernetes.
- Transform monolithic and SOA services to microservice based architecture.
- Adopt a DevOps approach to developing, testing and releasing software.
- Ensure high concurrency among microservices in production.
- Monitor microservices and implement recovery strategies.
- Carry out performance tuning.
- Learn about future trends in microservices architecture.
7 Stunden
This instructor-led, live training in Deutschland (online or onsite) is aimed at developers who wish to integrate Apache Kafka with existing databases and applications for processing, analysis, etc.
By the end of this training, participants will be able to:
- Use Kafka Connect to ingest large amounts of data from a database into Kafka topics.
- Ingest log data generated by an application servers into Kafka topics.
- Make any collected data available for stream processing.
- Export data from Kafka topics into secondary systems for storage and analysis.
By the end of this training, participants will be able to:
- Use Kafka Connect to ingest large amounts of data from a database into Kafka topics.
- Ingest log data generated by an application servers into Kafka topics.
- Make any collected data available for stream processing.
- Export data from Kafka topics into secondary systems for storage and analysis.
7 Stunden
This instructor-led, live training in Deutschland (online or onsite) is aimed at developers who wish to implement Apache Kafka stream processing without writing code.
By the end of this training, participants will be able to:
- Install and configure Confluent KSQL.
- Set up a stream processing pipeline using only SQL commands (no Java or Python coding).
- Carry out data filtering, transformations, aggregations, joins, windowing, and sessionization entirely in SQL.
- Design and deploy interactive, continuous queries for streaming ETL and real-time analytics.
By the end of this training, participants will be able to:
- Install and configure Confluent KSQL.
- Set up a stream processing pipeline using only SQL commands (no Java or Python coding).
- Carry out data filtering, transformations, aggregations, joins, windowing, and sessionization entirely in SQL.
- Design and deploy interactive, continuous queries for streaming ETL and real-time analytics.
21 Stunden
This instructor-led, live training in Deutschland (online or onsite) is aimed at sysadmins who wish to set up, deploy, manage and optimize an enterprise-grade Kafka cluster.
By the end of this training, participants will be able to:
- Set up and administer a Kafka Cluster.
- Evaluate the benefits and disadvantages of deploying Kafka on-premise vs in the cloud.
- Deploy and monitor Kafka in using various on-premise and cloud environment tools.
By the end of this training, participants will be able to:
- Set up and administer a Kafka Cluster.
- Evaluate the benefits and disadvantages of deploying Kafka on-premise vs in the cloud.
- Deploy and monitor Kafka in using various on-premise and cloud environment tools.
7 Stunden
This instructor-led, live training in Deutschland (online or onsite) is aimed at software testers who wish to implement network security measures into an Apache Kafka application.
By the end of this training, participants will be able to:
- Deploy Apache Kafka onto a cloud based server.
- Implement SSL encryption to prevent attacks.
- Add ACL authentication to track and control user access.
- Ensure credible clients have access to Kafka clusters with SSL and SASL authentication.
By the end of this training, participants will be able to:
- Deploy Apache Kafka onto a cloud based server.
- Implement SSL encryption to prevent attacks.
- Add ACL authentication to track and control user access.
- Ensure credible clients have access to Kafka clusters with SSL and SASL authentication.
14 Stunden
This instructor-led, live training in Deutschland (online or onsite) is aimed at data scientists who wish to use the SMACK stack to build data processing platforms for big data solutions.
By the end of this training, participants will be able to:
- Implement a data pipeline architecture for processing big data.
- Develop a cluster infrastructure with Apache Mesos and Docker.
- Analyze data with Spark and Scala.
- Manage unstructured data with Apache Cassandra.
By the end of this training, participants will be able to:
- Implement a data pipeline architecture for processing big data.
- Develop a cluster infrastructure with Apache Mesos and Docker.
- Analyze data with Spark and Scala.
- Manage unstructured data with Apache Cassandra.
7 Stunden
This instructor-led, live training in Deutschland (online or onsite) is aimed at data engineers, data scientists, and programmers who wish to use Spark Streaming features in processing and analyzing real-time data.
By the end of this training, participants will be able to use Spark Streaming to process live data streams for use in databases, filesystems, and live dashboards.
By the end of this training, participants will be able to use Spark Streaming to process live data streams for use in databases, filesystems, and live dashboards.
7 Stunden
This instructor-led, live training in Deutschland (online or onsite) is aimed at data engineers, data scientists, and programmers who wish to use Apache Kafka features in data streaming with Python.
By the end of this training, participants will be able to use Apache Kafka to monitor and manage conditions in continuous data streams using Python programming.
By the end of this training, participants will be able to use Apache Kafka to monitor and manage conditions in continuous data streams using Python programming.
Last Updated:
Zukünftige Kafka Kurse
Stream Processing with Kafka Streams
10-02-2022 09:30
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A Practical Introduction to Stream Processing
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Samza for Stream Processing
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Building Kafka Solutions with Confluent
29-03-2022 09:30
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Distributed Messaging with Apache Kafka
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Apache Kafka Schulung, Kafka boot camp, Apache Kafka Abendkurse, Kafka Wochenendkurse, Kafka Kurs, Kafka Training, Kafka Seminar, Kafka Seminare, Apache Kafka Privatkurs, Apache Kafka Coaching, Apache Kafka Lehrer
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