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Partitioned Primary Indexes (PPI): Getting Started

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This session will provide information on the basic concepts of Partitioned Primary Indexes.

What is a partitioned primary index? How do you define a partitioned primary index (PPI)? What are the RANGE_N and CASE_N functions all about? Get the answers and more about this performance enhancing capability during this presentation on the basics of partitioned primary indexes. This topic is of particular interest to physical database designers and database performance analysts. This session will describe the newer partitioning capabilities such as multi-level partitioning, character PPI enhancements (13.10), ALTER TABLE TO CURRENT (13.10), and the increased number of partitions in Teradata 14.0. This session will provide numerous DDL examples of creating partitioned tables using the newest features.

Key Points:

  • Understand the structure of a partitioned primary index and how it is implemented

  • Learn how to create and alter a PPI using various functions such as RANGE_N

  • Understand the advantages and disadvantages of using a partitioned primary index

Presenter: Larry Carter, Senior Learning Consultant – Teradata

Training details
Course Number: 
38855
Training Format: 
Recorded webcast
Price: 
$195
Credit Hours: 
1
Channel: 

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