Learn about the different data distribution options and how to select the best one for your Teradata tables, based on your data characteristics and query patterns.

Learn how to use SQL and built-in functions to identify, correct, standardize, remove, validate, and document your data in a Teradata data model.

Overview This guide provides instructions on how to set up and use Teradata with DBeaver. DBeaver enhances your experience with specialized support for Teradata features, including unique data types ...

A transparent SQL-on-Hadoop query mechanism would open up data stored in Hadoop to Teradata Warehouse and a universe of SQL-speaking BI tools.

Now Teradata is making a "big data" play. The Aster SQL-MapReduce framework combines SQL with prepackaged MapReduce modules that are executed through an integrated Hadoop environment.

Using a 40 Gigabit-per-second InfiniBand connection, the Teradata Aster Big Analytics Appliance can be integrated with an existing data warehouse from Teradata to create a data management platform ...

Teradata has fired the starting pistol in the race to make unstructured, semi-structured and traditional row-and-column data warehousing manageable and accessible in a single integrated architecture.

Teradata has made enhancements to the Teradata Database's hybrid row and column capabilities to provide quicker access to data stored on columnar tables and drive faster query performance. Other ...

The Teradata Vantage ecosystem provides integrations to multiple languages including most SQL, R, and Python; popular workbenches including Teradata Studio, Teradata AppCenter, Jupyter, and RStudio ...