3.A Guide to Data Warehousing скачать в хорошем качестве

3.A Guide to Data Warehousing

The source material provides a comprehensive overview of data warehousing and analytics concepts, beginning with the tiered architecture of data warehouses, where data storage is optimized based on access frequency. The text details the Extract, Transform, Load (ETL) process, including use cases for full and incremental batch loading, focusing on data cleaning, mapping, and validation steps. Furthermore, it introduces modern data warehouse products like Snowflake and Amazon Redshift, listing their features. A significant portion is dedicated to data marts, explaining they are smaller, subject-oriented subsets of a data warehouse used for specific analysis like sales or HR, along with their associated benefits and risks. Finally, the document covers Online Analytical Processing (OLAP) operations—specifically Roll-Up, Drill-Down, Slice, and Dice—using data cube diagrams and demonstrating how these techniques, particularly within a star or galaxy schema model, are applied to analyze relationships between transactional facts and dimensions, such as analyzing volcanic eruptions and earthquakes. retrieved from to the University of Vaasa. Dr Amit Shukla