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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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 Khandelwal Khandelwal
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Khandelwal
 Kasi Kasi
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Kasi
 Bhamidipati Bhamidipati
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Bhamidipati
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Toc

Table of Contents (19) Chapters Close

Title Page
Dedication
Packt Upsell
Contributors
Preface
1. Installation FREE CHAPTER 2. SQLs 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 1. Other Books You May Enjoy Index

Partitioning tables column wise


Starting with Teradata 14.0, a new feature was introduced called Columnar. Using a partition primary index (PPI), Teradata partitions tables into rows. But now you can also partition tables column wise. 

Columnar provides you with this feature. You can now partition tables with a high number of columns into smaller tables. This not only reduces the I/O, but space too, by auto compressing column containers. Tables can be row partitioned plus column partitioned.

Advantages of using the Teradata Columnar can be the following:

  • Improved query performance
  • Reduced disk space
  • Reduced I/O
  • Ease of use

Please note there are certain features of Columnar that are not available in later versions of the database but are in Teradata 15.10:

  • Has the primary index (from version 15.10)
  • Has the primary AMP index (from version 15.10)
  • Joins index column-based partitions (previous version also)
  • NOPI table column-based partitions (previous version also)
  • No SET tables (previous version also)
  • No...
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