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Course Outline

Getting Started with Oracle Data Warehousing

  • Exploring data warehouse architecture and practical use cases
  • Distinguishing between OLTP and OLAP workloads
  • Identifying core components of an Oracle DW solution

Designing Warehouse Schemas

  • Applying dimensional modeling with star and snowflake schemas
  • Understanding 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

Partitioning and Performance

  • Implementing partitioning methods: range, list, and hash
  • Leveraging query pruning and parallel processing
  • Executing partition-wise joins and adhering to best practices

Compression and Storage Optimization

  • Developing data archival strategies
  • Optimizing storage for both performance and cost efficiency

Advanced Query and Analytics Features

  • Utilizing materialized views and query rewrite capabilities
  • Employing analytical SQL functions (RANK, LAG, ROLLUP)
  • Conducting time-based analysis and real-time reporting

Monitoring and Tuning the Data Warehouse

  • Tracking query performance
  • Defining indexing strategies for warehousing environments

Summary and Next Steps

Requirements

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

Target Audience

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

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