Using the ELT Approach for Loading - Parallel Transporter

Teradata® Parallel Transporter User Guide

Parallel Transporter
Release Number
August 2020
English (United States)
Last Update
Product Category
Teradata Tools and Utilities

While most 3rd party data warehousing products usually provide a wide variety of data transformation tools for cleansing and filtering data before loading, Teradata PT’s primary focus is fast data loading data into Teradata tables where data can be further processed using the power of SQL within Teradata. This feature of the Teradata Database gives rise to a new loading approach called Extract, Load, and Transform (ELT).

Aside from loading with scalable performance, there are additional advantages to using the ELT approach. For example, the Load and Update operators do not support the loading of target tables with USI (Unique Secondary Index), JI (Join Index), RI (Referential Integrity) or Triggers. With the ELT approach, however, you can avoid the above restrictions by first loading data into a staging table and then using such SQL statements as INSERT-SELECT or MERGE-INTO to move the data from the staging table to the target table.

To implement ELT, you can use the Teradata PT "job step" feature to encapsulate the loading step, the SQL INSERT-SELECT step, and the cleanup step into a single job, as shown in the following figure.

Each step within a job is restartable, which means that whenever a step fails for any reason, the resubmission of the job would cause it to resume execution at the failed step and continue. The ELT approach also offers the flexibility of performing a number of different operations on the source rows, such as data cleansing, transformation, integrity checks, and so on, via different steps within the job, before inserting data into the target table.

Extracting, Loading, and Transforming (ELT)