Joe Celko's Analytics and OLAP in SQL

Before SQL programmers could begin working with OLTP (On-Line Transaction Processing) systems, they had to unlearn procedural, record-oriented programming before moving on to SQL’s declarative, set-oriented programming. This book covers the next step in your growth. OLAP (On-Line Analytical Processing), Data Warehousing and Analytics involve seeing data in the aggregate and over time, not as single transactions. Once more it is time to unlearn what you were previously taught.

This book is not an in-depth look at particular subjects, but an overview of many subjects that will give the working RDBMS programmers a map of the terra incognita they will face—if they want to grow.

* Expert advice from a noted SQL authority and award-winning columnist, who has given ten years of service to the ANSI SQL standards committee and many more years of dependable help to readers of online forums.

* First book that teaches what SQL programmers need in order to successfully make the transition from transactional systems (OLTP) into the world of data warehouse data and OLAP.

* Offers real-world insights and lots of practical examples.

* Covers the OLAP extensions in SQL-99; ETL tools, OLAP features supported in DBMSs, other query tools, simple reports, and statistical software.

Introduction
Chapter 1: Basic Reports & History
Chapter 2: Crosstabs
Chapter 3: Star and Snowflake Schemas
Chapter 4: Data Migration
Chapter 5: MERGE Statement
Chapter 6: OLAP Basics
Chapter 7: GROUPING Operators in SQL
Chapter 8: OLAP Operators in SQL
Chapter 9: Cubes
Chapter 10: Data Quality
Chapter 11: Correlation
Chapter 12: Distributions
Chapter 13: Market Baskets
Chapter 14: Decision and Regression Trees
Chapter 15: Computer Intensive Analysis
Chapter 16: Relationship Analytics
Chapter 17: Database Architectures