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
Getting Started with Oracle Data Warehousing
- Data warehouse architecture and applicable use cases
- Differences between OLTP and OLAP workloads
- Essential elements of an Oracle DW solution
Designing Warehouse Schemas
- Dimensional modeling techniques: star and snowflake structures
- Role of fact and dimension tables
- Managing slowly changing dimensions (SCD)
Data Loading and ETL Methodologies
- Designing ETL processes leveraging SQL and PL/SQL
- Implementation of external tables and SQL*Loader
- Managing incremental loads and Change Data Capture (CDC)
Partitioning and Performance Enhancement
- Partitioning approaches: range, list, and hash
- Optimizing query pruning and parallel processing
- Best practices for partition-wise joins
Compression and Storage Efficiency
- Application of hybrid columnar compression
- Strategies for data archival
- Balancing storage optimization for performance and cost-effectiveness
Advanced Querying and Analytical Capabilities
- Utilizing materialized views and query rewrite features
- Employing analytical SQL functions such as RANK, LAG, and ROLLUP
- Conducting time-based analysis and real-time reporting
Data Warehouse Monitoring and Tuning
- Tracking and assessing query performance
- Managing resource usage and workloads
- Developing indexing strategies for warehousing environments
Recap and Future Directions
Requirements
- A solid grasp of SQL and fundamental Oracle database concepts
- Practical experience with Oracle 12c/19c in either an administrative or development capacity
- Foundational knowledge of data warehousing principles
Target Audience
- Data warehouse developers
- Database administrators
- Business intelligence specialists
Testimonials (1)
good explanation on each points and provide assignment for practices.