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 Duration 21 hours

Course Outline

Getting Started with Oracle Data Warehousing

  • Data warehouse architecture and applicable use cases
  • Differences between OLTP and OLAP workloads
  • Essential elements of an Oracle DW solution

Designing Warehouse Schemas

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

Data Loading and ETL Methodologies

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

Partitioning and Performance Enhancement

  • Partitioning approaches: range, list, and hash
  • Optimizing query pruning and parallel processing
  • Best practices for partition-wise joins

Compression and Storage Efficiency

  • Application of hybrid columnar compression
  • Strategies for data archival
  • Balancing storage optimization for performance and cost-effectiveness

Advanced Querying and Analytical Capabilities

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

Data Warehouse Monitoring and Tuning

  • Tracking and assessing query performance
  • Managing resource usage and workloads
  • Developing indexing strategies for warehousing environments

Recap and Future Directions

Requirements

  • A solid grasp of SQL and fundamental Oracle database concepts
  • Practical experience with Oracle 12c/19c in either an administrative or development capacity
  • Foundational knowledge of data warehousing principles

Target Audience

  • Data warehouse developers
  • Database administrators
  • Business intelligence specialists

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