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Course Outline

Foundations of Oracle Data Warehousing

  • Architectural frameworks and practical use cases for data warehouses
  • Distinguishing between OLTP and OLAP workloads
  • Essential components of an Oracle DW environment

Designing Warehouse Schemas

  • Dimensional modeling approaches, specifically star and snowflake schemas
  • Understanding fact and dimension tables
  • Managing slowly changing dimensions (SCD)

Strategies for Data Loading and ETL

  • Crafting ETL processes utilizing SQL and PL/SQL
  • Leveraging external tables and SQL*Loader
  • Implementing incremental loads and CDC (Change Data Capture)

Partitioning and Performance Optimization

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

Storage Optimization and Compression

  • Utilizing hybrid columnar compression
  • Developing data archival strategies
  • Balancing storage optimization for both performance and cost-efficiency

Advanced Query and Analytics Capabilities

  • Employing materialized views and query rewrite features
  • Utilizing analytical SQL functions such as RANK, LAG, and ROLLUP
  • Conducting time-based analyses and real-time reporting

Data Warehouse Monitoring and Tuning

  • Tracking query performance metrics
  • Managing resource usage and workloads
  • Developing indexing strategies specific to warehousing

Recap and Future Directions

Requirements

  • Familiarity with SQL and fundamental Oracle database principles
  • Hands-on experience with Oracle 12c/19c in either an administrative or development capacity
  • Foundational grasp of data warehousing concepts

Target Audience

  • Data warehouse developers
  • Database administrators
  • Business intelligence specialists
 21 Hours

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