The UDA channel is a place for information sharing regarding Teradata’s Unified Data Architecture including the Analytical Ecosystem and other UDA influences.  This channel provides information specific to the integration and co-existence of multiple systems, in particular when a mix of Aster, Teradata, and Hadoop are present. It is also meant to support information around the UDA enabling technologies so products like Viewpoint, Data Mover, Connectors, QueryGrid, etc.

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New Teradata Unity Data Mover 15.00 Available

Announcing Teradata Unity Data Mover 15.00

We are pleased to announce the General Customer Availability (GCA) of Unity Data Mover 15.00. With release 15.00, Unity Data Mover is now certified with Teradata Database 15.00, and supports important database features such as JSON and foreign server definitions. Data Mover can now move foreign server definitions, as well as utilize QueryGrid/foreign server connections to move data from Hadoop to Teradata (if installed). Hadoop support has also been extended to support TDH 2.1 and 1.3.2.

Working with Identity Columns and Unity Director and Loader

One of Unity Director and Loader’s core benefits is the ability to keep multiple Teradata systems synchronized with online, transactional-consistent, changes. Unlike post-transactional replication, Unity Director’s SQL-multicast sends requests in parallel to all connected systems at the same time. It also performs consistent checking on the responses of every write statement to ensure changes both systems succeed and produce the same results.

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.

The primary purpose of Loom is to serve as a “workbench” for an analyst working in the Hadoop data lake, helping them to:

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 Loom
Unified Data Architecture Monitoring & Management

The Unified Data Architecture enables Teradata, Aster and Hadoop to deliver unparalleled value.

Unity Ecosystem Manager – Advanced Monitoring and Alerting for your UDA

It’s 2 AM, and the Load Job required for the executives’ Monday morning briefing report failed… How are you notified? Ecosystem Manager provides advanced features that can alert and trigger automated corrective actions for such system events.

Backup and Restore using Teradata Data Stream Architecture (DSA)

Teradata Data Stream Architecture (DSA) is a new product offering for Teradata Backup and Restore, providing significant performance and usability improvements over existing backup and restore functionality.

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