Book Image

Teradata Cookbook

By : Abhinav Khandelwal, Viswanath Kasi, Rajsekhar Bhamidipati
Book Image

Teradata Cookbook

By: Abhinav Khandelwal, Viswanath Kasi, Rajsekhar Bhamidipati

Overview of this book

Teradata is an enterprise software company that develops and sells its eponymous relational database management system (RDBMS), which is considered to be a leading data warehousing solutions and provides data management solutions for analytics. This book will help you get all the practical information you need for the creation and implementation of your data warehousing solution using Teradata. The book begins with recipes on quickly setting up a development environment so you can work with different types of data structuring and manipulation function. You will tackle all problems related to efficient querying, stored procedure searching, and navigation techniques. Additionally, you’ll master various administrative tasks such as user and security management, workload management, high availability, performance tuning, and monitoring. This book is designed to take you through the best practices of performing the real daily tasks of a Teradata DBA, and will help you tackle any problem you might encounter in the process.
Table of Contents (19 chapters)
Title Page
Dedication
Packt Upsell
Contributors
Preface
Index

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:

  • FastloadBulk 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...