Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 21 hours
Course Outline
Overview of Oracle Data Warehousing
- Data warehouse architecture and practical applications
- Distinguishing OLTP from OLAP workloads
- Essential elements of an Oracle DW environment
Designing Warehouse Schemas
- Dimensional modeling techniques: star and snowflake structures
- Utilizing fact and dimension tables
- Managing slowly changing dimensions (SCD)
Data Ingestion and ETL Approaches
- Designing ETL pipelines using SQL and PL/SQL
- Leveraging external tables and SQL*Loader
- Implementing incremental loads and CDC (Change Data Capture)
Partitioning and System Performance
- Partitioning strategies: range, list, and hash
- Optimizing via query pruning and parallel processing
- Executing partition-wise joins and adhering to best practices
Compression and Storage Efficiency
- Hybrid columnar compression techniques
- Strategies for data archiving
- Balancing storage optimization for performance and cost reduction
Advanced Query and Analytical Capabilities
- Implementing materialized views and query rewriting
- Utilizing analytical SQL functions (RANK, LAG, ROLLUP)
- Conducting time-based analysis and generating real-time reports
Data Warehouse Monitoring and Tuning
- Tracking and analyzing query performance
- Managing resource consumption and workloads
- Developing effective indexing strategies for warehousing
Recap and Future Directions
Requirements
- Familiarity with SQL and core Oracle database principles
- Practical experience with Oracle 12c or 19c in an administrative or development capacity
- Foundational understanding of data warehousing concepts
Target Audience
- Data warehouse developers
- Database administrators
- Business intelligence specialists
Testimonials (1)
good explanation on each points and provide assignment for practices.