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Putting Teradata Geospatial On The Map

The Teradata Database provides a powerful and scalable platform for storing and processing geospatial data

Teradata Connector for Hadoop (Command Line Edition)

The Teradata Connector for Hadoop (Command Line Edition) provides bi-directional data movement between Teradata and Hadoop in a command line environment.

For more information, please see the Teradata Connector for Hadoop now available article.

OLAP Analytics in Action

This presentation demystifies usage of  OLAP Analytics function for TD 15.0 and previous releases.

Teradata 14.10 XML Data Type
This feature provides the following new capabilities:
Teradata XML Services

Teradata XML Services provide assistance in database transformation of XML structures to and from relational structures. This is primarily an enterprise fit feature. XML in this context is regarded as a data format that is used to describe incoming or outgoing warehouse data. A key concept for this feature is that we are not transforming to store XML but rather to maintain a relational data model or to integrate relational data into an enterprise XML message structure! The relational data model is bested suited for enterprise analytics. XML structures are best suited for enterprise integration.

Teradata XML Services is supported on Database Versions 13, 13.10 and 14. As of Teradata Database version 14.10, much of the XML Services functionality has been implemented as part of the XML data type in the database, and Teradata XML Services as a separate download will not be supported for 14.10 and future versions. Mappings created for XML shredding and publishing can be used for 14.10 as well (except for XSLT shredding),  but the names of the stored procedures will change. Please see the Teradata XML book in the database user documentation for further details.

Getting Started with Loom

Loom provides core capabilities needed for enterprises to successfully deploy a Hadoop data lake.  Loom makes the first phase of the analytic workflow more efficient, enabling analysts to quickly find, understand, and prepare data in a Hadoop data lake, which allows them to spend more time developing analytics.  Ultimately, this means more business insights are developed faster, which is the ultimate driver for ROI of the data lake.

Try Teradata Loom with CDH

Teradata Loom® is an integrated big data solution for effective data and metadata management on Hadoop, enabling rapid analyst productivity by making it easy to find, access and understand data. Loom is the complete solution for getting the most from your data lake. Loom provides access to Hadoop data and metadata through an open REST API. Built on the API, the Loom Workbench is a simple browser-based UI for working with data and metadata in Hadoop.

Try Teradata Loom with HDP

Teradata Loom® is an integrated big data solution for effective data and metadata management on Hadoop, enabling rapid analyst productivity by making it easy to find, access and understand data. Loom is the complete solution for getting the most from your data lake. Loom provides access to Hadoop data and metadata through an open REST API. Built on the API, the Loom Workbench is a simple browser-based UI for working with data and metadata in Hadoop.

Try Teradata Loom

Teradata Loom® is an integrated big data solution for effective data and metadata management on Hadoop, enabling rapid analyst productivity by making it easy to find, access and understand data. Loom is the complete solution for getting the most from your data lake. Loom provides access to Hadoop data and metadata through an open REST API. Built on the API, the Loom Workbench is a simple browser-based UI for working with data and metadata in Hadoop.

Teradata Active System Management (TASM) with SLES 11 Priority Scheduler

A new database priority scheduler is introduced with the Linux SLES 11 operating system. This changes how workload priorities are managed within Teradata Active System Management (TASM).

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