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Teradata Cookbook

You're reading from   Teradata Cookbook Over 85 recipes to implement efficient data warehousing solutions

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Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781787280786
Length 454 pages
Edition 1st Edition
Languages
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Authors (3):
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Abhinav Khandelwal Abhinav Khandelwal
Author Profile Icon Abhinav Khandelwal
Abhinav Khandelwal
Viswanath Kasi Viswanath Kasi
Author Profile Icon Viswanath Kasi
Viswanath Kasi
Rajsekhar Bhamidipati Rajsekhar Bhamidipati
Author Profile Icon Rajsekhar Bhamidipati
Rajsekhar Bhamidipati
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Toc

Table of Contents (14) Chapters Close

Preface 1. Installation 2. SQLs FREE CHAPTER 3. Advanced SQL with Backup and Restore 4. All about Indexes 5. Mixing Strategies – Joining of Tables 6. Building Loading Utility – Replication and Loading 7. Monitoring the better way 8. Collect Statistics the Better Way 9. Application and OPS DBA Insight 10. DBA Insight 11. Performance Tuning 12. Troubleshooting 13. Other Books You May Enjoy

Exploring ordered analytic functions


The Online Analytical Processing (OLAP) function, according to Wikipedia, is used to analyze multi-dimensional analytical queries quickly and efficiently. OLAP is part of the broader category of business intelligence, which also encompasses relational reporting and data mining. The typical applications of OLAP are business reporting for sales, marketing, management reporting, business process management (BPM), budgeting and forecasting, financial reporting, and similar areas.

The term OLAP was created as a slight modification of the traditional database term OLTP (Online Transaction Processing). Databases configured for OLAP use a multidimensional data model, allowing for complex analytical and ad hoc queries with a rapid execution time.

Like traditional aggregate functions, window aggregate functions operate on groups of rows and permit the qualification and filtering of the group result. Unlike aggregations, OLAP functions also return individual detail...

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