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Course Outline
Foundations of Oracle Data Warehousing
- Architectural frameworks and practical use cases for data warehouses
- Distinguishing between OLTP and OLAP workloads
- Essential components of an Oracle DW environment
Designing Warehouse Schemas
- Dimensional modeling approaches, specifically star and snowflake schemas
- Understanding fact and dimension tables
- Managing slowly changing dimensions (SCD)
Strategies for Data Loading and ETL
- Crafting ETL processes utilizing SQL and PL/SQL
- Leveraging external tables and SQL*Loader
- Implementing incremental loads and CDC (Change Data Capture)
Partitioning and Performance Optimization
- Partitioning techniques: range, list, and hash
- Applying query pruning and parallel processing
- Executing partition-wise joins and adhering to best practices
Storage Optimization and Compression
- Utilizing hybrid columnar compression
- Developing data archival strategies
- Balancing storage optimization for both performance and cost-efficiency
Advanced Query and Analytics Capabilities
- Employing materialized views and query rewrite features
- Utilizing analytical SQL functions such as RANK, LAG, and ROLLUP
- Conducting time-based analyses and real-time reporting
Data Warehouse Monitoring and Tuning
- Tracking query performance metrics
- Managing resource usage and workloads
- Developing indexing strategies specific to warehousing
Recap and Future Directions
Requirements
- Familiarity with SQL and fundamental Oracle database principles
- Hands-on experience with Oracle 12c/19c in either an administrative or development capacity
- Foundational grasp of data warehousing concepts
Target Audience
- Data warehouse developers
- Database administrators
- Business intelligence specialists
21 Hours
Testimonials (1)
good explanation on each points and provide assignment for practices.