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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

Identify the right columns for joins

A data warehouse is a collection of objects such as databases, tables, users, and many others. Tables hold data which is used to drive business insights and analytics. To get answers to many business requirements, it becomes necessity to join multiple tables.

Not only is this type of join important, but it is also important which columns need to be joined. In this recipe, we will explore which types of columns are good candidates for joins. But sometimes, joining columns can't be changed because of business requirements.

The following are some data types that can be used in Teradata:

Data Type Length (Bytes) Description
ByteINT 1 Ranges from -127 to +127
CHAR Fixed format  These data types represent character data: Type Varchar, CLOB
DATE 4 Format YYYYYMMDD
TIME 6/8 Format Time or Timestamp value HHMMSS.nnnnnn...
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