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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
Testimonials (1)
good explanation on each points and provide assignment for practices.