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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

Introduction


The Teradata Database provides several utilities to load, delete, or update large volumes of data. Utilities are the most efficient way to load data into a database. Utilities are designed to utilize the parallel architecture of Teradata while inserting, deleting, or updating data. This also means that if they are not designed properly, these utilities can have performance impacts on the system.

The following are the utilities in Teradata:

  • Fastload: Bulk load utility
  • Mload: Bulk load utility
  • Fastexport: Bulk export utility
  • BTEQ: Use of transient journal
  • TPUMP: Use of transient journal

Let's see how these utilities compare with each other:

Utility Name

Type

Advantages

Disadvantages

Fastload

Single table bulk load

  • Fastest
  • Table with NoPI supported
  • Supports error limits and checkpoint/ restart
  • Both support multi-value compression and PPI
  • Inserts only
  • Empty target table required 
  • Fallback, permanent journal are applied after the FastLoad is complete 
  • Secondary indexes, triggers, join indexes, and referential...
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