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Course Outline
Getting Started with Oracle Data Warehousing
- Exploring data warehouse architecture and practical use cases
- Distinguishing between OLTP and OLAP workloads
- Identifying core components of an Oracle DW solution
Designing Warehouse Schemas
- Applying dimensional modeling with star and snowflake schemas
- Understanding fact and dimension tables
- Managing slowly changing dimensions (SCD)
Data Loading and ETL Strategies
- Designing ETL processes using SQL and PL/SQL
- Utilizing external tables and SQL*Loader
Partitioning and Performance
- Implementing partitioning methods: range, list, and hash
- Leveraging query pruning and parallel processing
- Executing partition-wise joins and adhering to best practices
Compression and Storage Optimization
- Developing data archival strategies
- Optimizing storage for both performance and cost efficiency
Advanced Query and Analytics Features
- Utilizing materialized views and query rewrite capabilities
- Employing analytical SQL functions (RANK, LAG, ROLLUP)
- Conducting time-based analysis and real-time reporting
Monitoring and Tuning the Data Warehouse
- Tracking query performance
- Defining indexing strategies for warehousing environments
Summary and Next Steps
Requirements
- Proficiency in SQL and fundamental Oracle database concepts
- Practical experience with Oracle 12c/19c in administrative or development capacities
- Foundational knowledge of data warehousing principles
Target Audience
- Data warehouse developers
- Database administrators
- Business intelligence specialists
21 Hours
Testimonials (1)
good explanation on each points and provide assignment for practices.