Oracle Database 19c: Data Warehousing Concepts Course Overview
The Oracle Database 19c: Data Warehousing Concepts Course Overview provides essential insights into data warehousing principles, crucial for effective decision-making. Designed for data analysts, database administrators, and business intelligence professionals, this course equips learners with the skills to optimize data management and leverage Oracle's robust features for enhanced data analysis and reporting.
Course outline & what you'll learn
- Definition and purpose of data warehousing
- Data warehouse architecture
- Differences between OLTP and OLAP systems
- Key features of Oracle Database 19c
- Installation and configuration of Oracle Database
- Dimensional modeling concepts
- Star schema and snowflake schema
- Fact and dimension tables
- Introduction to ETL (Extract, Transform, Load)
Overview of Oracle Data Integrator (ODI)
- Data quality and cleansing techniques
- Introduction to SQL for data warehousing
- Advanced SQL techniques
- Using Oracle Analytics for reporting and visualization
- Indexing strategies for data warehousing
- Query optimization techniques
- Partitioning and materialized views
- Implementing security measures in a data warehouse
- Backup and recovery strategies for data warehouses
- Real-world data warehousing scenarios
- Best practices for building a data warehouse
- Review of key concepts
- Certification and further learning opportunities
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.