Teradata Parallel Transporter (TPT) is an object-oriented client application that provides scalable, high-speed, parallel data Extraction, Loading and Updating. These capabilities can be extended with customizations or with third-party products. Teradata PT uses and expands on the functionality of the traditional Teradata extract and load utilities (FastLoad, MultiLoad, FastExport, and TPump). This presentation will focus on batch and active loading techniques and real-world examples of how TPT has applied its parallelization and scalability features to address loading challenges. Gain knowledge about the latest features from the latest releases. Learn about the best practices for implementing loading and unloading processes and tips and techniques to build reusable scripts that can be deployed across different system environments. In addition, we will explore how the Logger Services can help capture and monitor the status and performance information of jobs running in your environment.

Key Points

  • Key features being used by our customers and the benefits of using them
  • How to build generic scripts that minimize maintenance cost and maximizes reusability
  • Best practices for successful implementation of scalable loading processes

Note: This presentation is an updated version of the session presented at the 2007 Partners Conference.

Presenter: Steven Feinholz, Senior Consulting Engineer - Teradata Corporation

This course is offered by the Teradata Education Network. To enroll online, click the Training URL link below to go to the TEN site and Log in. If you're not a member click browse, select your region, and search on the Course Number. Or to enroll by phone, call the Enrollment Center at 1-937-242-4460. Note: You must be a member to register for a course.

Audience: Data Warehouse Administrator, Data Warehouse Application Specialist, Data Warehouse Architect/ Designer, Data Warehouse Technical Specialist

Course number:40903
Training URL:http://www.teradata.com/t/ten/
Format:Recorded webcast
Credit hours:1.50