Data Warehouse
Introduction to Data Warehousing
What is a Data Warehouse?
Importance and benefits of Data Warehousing
Data Warehousing Concepts
Understanding facts and dimensions
Star schema and Snowflake schema
OLAP vs OLTP
Data Warehousing Architecture
Different layers in a Data Warehouse (Staging, Integration, Access)
Data Marts
ETL Process
Understanding the Extract, Transform, Load process
ETL tools in the market
Data Modeling
Conceptual, Logical, and Physical data models
Normalization and Denormalization
Data Warehouse Design
Designing a Data Warehouse
Handling slowly changing dimensions
SQL for Data Warehousing
Writing complex SQL queries
Window functions, nested queries, and joins
Data Warehousing Solutions
On-premise vs cloud-based Data Warehouses
Overview of popular Data Warehousing solutions (e.g., Redshift, BigQuery)
Data Security and Governance
Ensuring data privacy and security
Data governance best practices
Performance Tuning
Indexing
Partitioning
Query optimization
Last updated
Was this helpful?