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 Duration 21 hours

Course Outline

Foundations of Oracle Data Warehousing

  • Data warehouse architecture and application scenarios
  • Distinguishing between OLTP and OLAP workloads
  • Essential elements of an Oracle data warehouse solution

Designing Warehouse Schemas

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

Strategies for Data Loading and ETL

  • Designing ETL processes leveraging SQL and PL/SQL
  • Utilizing external tables and SQL*Loader
  • Implementing incremental loads and CDC (Change Data Capture)

Partitioning and Performance Management

  • Partitioning methods: range, list, and hash
  • Query pruning and parallel processing techniques
  • Best practices for partition-wise joins

Storage Optimization and Compression

  • Application of hybrid columnar compression
  • Strategies for archiving data
  • Balancing storage optimization with performance and cost efficiency

Advanced Query and Analytics Capabilities

  • Materialized views and automated query rewrite
  • Analytical SQL functions (RANK, LAG, ROLLUP)
  • Time-based analysis and real-time reporting solutions

Data Warehouse Monitoring and Tuning

  • Tracking and analyzing query performance
  • Managing resource usage and workloads
  • Indexing strategies specific to data warehousing

Summary and Path Forward

Requirements

  • A solid grasp of SQL and fundamental Oracle database concepts
  • Practical experience with Oracle 12c/19c in administrative or development capacities
  • Foundation knowledge of core data warehousing principles

Target Audience

  • Developers specializing in data warehouses
  • Database administrators
  • Business intelligence specialists

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