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Course Outline
Introduction to Oracle Data Warehousing
- Data warehouse architecture and use cases
- OLTP vs OLAP workloads
- Core components of an Oracle DW solution
Warehouse Schema Design
- Dimensional modeling: star and snowflake schemas
- Fact and dimension tables
- Handling slowly changing dimensions (SCD)
Data Loading and ETL Strategies
- ETL process design using SQL and PL/SQL
- Using external tables and SQL*Loader
- Incremental loads and CDC (Change Data Capture)
Partitioning and Performance
- Partitioning methods: range, list, hash
- Query pruning and parallel processing
- Partition-wise joins and best practices
Compression and Storage Optimization
- Hybrid columnar compression
- Data archival strategies
- Optimizing storage for performance and cost
Advanced Query and Analytics Features
- Materialized views and query rewrite
- Analytical SQL functions (RANK, LAG, ROLLUP)
- Time-based analysis and real-time reporting
Monitoring and Tuning the Data Warehouse
- Monitoring query performance
- Resource usage and workload management
- Indexing strategies for warehousing
Summary and Next Steps
Requirements
- An understanding of SQL and Oracle database fundamentals
- Experience working with Oracle 12c/19c in an administrative or development role
- Basic knowledge of data warehousing concepts
Audience
- Data warehouse developers
- Database administrators
- Business intelligence professionals
21 Hours
Delivery Options
Private Group Training
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- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from £5700 online delivery, based on a group of 2 delegates, £1800 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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