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 Duration 21 hours

Course Outline

Introduction to Oracle Data Warehousing

  • Data warehouse architecture and practical use cases
  • Distinguishing OLTP from OLAP workloads
  • Essential elements of an Oracle DW solution

Warehouse Schema Design

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

Data Loading and ETL Strategies

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

Partitioning and Performance

  • Partitioning techniques: range, list, and hash
  • Query pruning and parallel processing
  • Partition-wise joins and recommended practices

Compression and Storage Optimization

  • Hybrid columnar compression
  • Data archival methodologies
  • Storage optimization for performance and cost efficiency

Advanced Query and Analytics Features

  • Materialized views and query rewrite capabilities
  • Advanced SQL analytical functions (RANK, LAG, ROLLUP)
  • Time-based analysis and real-time reporting

Monitoring and Tuning the Data Warehouse

  • Tracking query performance
  • Resource utilization and workload management
  • Indexing strategies specific to warehousing

Summary and Next Steps

Requirements

  • Foundational knowledge of SQL and Oracle database principles
  • Prior experience with Oracle 12c/19c in administrative or development capacities
  • Basic familiarity with data warehousing concepts

Target Audience

  • Data warehouse developers
  • Database administrators
  • Business intelligence specialists

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