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Course Outline

Foundations of Oracle Data Warehousing

  • Overview of data warehouse architectures and practical applications
  • Distinguishing between OLTP and OLAP workloads
  • Essential elements of an Oracle DW implementation

Designing Warehouse Schemas

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

Data Loading and ETL Methodologies

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

Partitioning and Performance Management

  • Exploring partitioning techniques: range, list, and hash
  • Optimizing query pruning and parallel processing
  • Best practices for partition-wise joins

Compression and Storage Efficiency

  • Applying hybrid columnar compression
  • Developing data archival strategies
  • Balancing storage optimization for performance and cost-effectiveness

Advanced Querying and Analytical Capabilities

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

Monitoring and Tuning Data Warehouses

  • Tracking and analyzing query performance
  • Managing resource usage and workloads
  • Implementing strategic indexing for warehousing

Conclusion and Future Directions

Requirements

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

Intended Audience

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

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