Get in Touch
 Duration 21 hours

Course Outline

Overview of Oracle Data Warehousing

  • Data warehouse architecture and practical applications
  • Distinguishing OLTP from OLAP workloads
  • Essential elements of an Oracle DW environment

Designing Warehouse Schemas

  • Dimensional modeling techniques: star and snowflake structures
  • Utilizing fact and dimension tables
  • Managing slowly changing dimensions (SCD)

Data Ingestion and ETL Approaches

  • Designing ETL pipelines using SQL and PL/SQL
  • Leveraging external tables and SQL*Loader
  • Implementing incremental loads and CDC (Change Data Capture)

Partitioning and System Performance

  • Partitioning strategies: range, list, and hash
  • Optimizing via query pruning and parallel processing
  • Executing partition-wise joins and adhering to best practices

Compression and Storage Efficiency

  • Hybrid columnar compression techniques
  • Strategies for data archiving
  • Balancing storage optimization for performance and cost reduction

Advanced Query and Analytical Capabilities

  • Implementing materialized views and query rewriting
  • Utilizing analytical SQL functions (RANK, LAG, ROLLUP)
  • Conducting time-based analysis and generating real-time reports

Data Warehouse Monitoring and Tuning

  • Tracking and analyzing query performance
  • Managing resource consumption and workloads
  • Developing effective indexing strategies for warehousing

Recap and Future Directions

Requirements

  • Familiarity with SQL and core Oracle database principles
  • Practical experience with Oracle 12c or 19c in an administrative or development capacity
  • Foundational understanding of data warehousing concepts

Target Audience

  • Data warehouse developers
  • Database administrators
  • Business intelligence specialists

Number of participants


Price per participant (excl. VAT)

Testimonials (1)

Upcoming Courses

Related Categories