Oracle Database 19c: Data Warehousing Techniques Course Overview
The Oracle Database 19c: Data Warehousing Techniques Course Overview equips professionals with essential skills to design and manage effective data warehousing solutions. This course is crucial for data analysts, database administrators, and business intelligence professionals seeking to enhance their data management capabilities, optimize performance, and leverage advanced analytics for better decision-making in their organizations.
Course outline & what you'll learn
Overview of Data Warehousing
- Differences Between OLTP and OLAP
- Data Warehouse Architecture
- Features and Enhancements of Oracle Database 19c
- Installation and Configuration of Oracle Database 19c
- Dimensional Modeling Techniques
- Star Schema vs. Snowflake Schema
- Fact and Dimension Tables
- Introduction to ETL (Extract, Transform, Load)
- Oracle Data Integrator (ODI) Overview
- Data Quality and Cleansing
- Partitioning Strategies
- Materialized Views
- Query Optimization Techniques
- Best Practices for Query Performance
- Indexing Strategies
- Monitoring and Troubleshooting Performance Issues
- In-Memory Column Store
- Advanced Analytics and Data Mining
- Oracle Machine Learning Integration
- Oracle Analytics Cloud
- Data Visualization Techniques
- Creating Reports and Dashboards
- Data Governance
- Security Best Practices
- Managing User Access and Roles
- Industry Use Cases
- Hands-On Labs and Exercises
- Project Work and Presentation
Why train with Traincrest
This Oracle course is delivered by Traincrest's certified instructors, live online or in the classroom, with hands-on labs and a 98% exam success rate. Trusted by 500+ companies and 50,000+ students worldwide.