Teradata Rolls Out QueryGrid Analytics Platform

Data warehousing company Teradata is out with a new analytics solution for handling data from a variety of sources. Called QueryGrid, the new offering is intended to provide self-service access to analytic results across a variety of systems from a single query.

The challenge, the company said, is how to connect a wide variety of analytic engines, file systems, storage techniques, procedural languages and data types into a single architecture. The new solution, part of a series of announcements the company made at its Teradata Universe event now taking place in Prague, is designed to use the combined power of specialized processing engines in a cohesive environment inside and outside of its Unified Data Architecture.

The company's Unified Data Architecture is a partnership with Hortonworks enterprise data platform that integrates the open source big data framework Hadoop with the Teradata Database and Teradata Aster Discovery Platform.

'Value from Big Data'

Scott Gnau, president of Teradata Labs, said in a statement that attempts at a federated approach haven't worked. "To deliver value from big data," he said, "customers should create an architecture that allows the orchestration of analytic processes across parallel databases rather than federated servers."

He added that QueryGrid, which will be available in the third quarter, takes this approach. "After the user selects an analytic engine and a file system, Teradata software seamlessly orchestrates analytic processing across systems with a single SQL query, without moving the data." Multiple file systems and engines are allowed in the same workload.

In a posting on the company blog, Gnau similarly promoted QueryGrid's ability to "submit a single query to a single system and have it use data and specialized analytics capabilities from many other systems to get the answer." This, he said, allows processing to occur where the data resides.

The company has also announced the enterprise-class Teradata Active...

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Teradata Rolls Out QueryGrid Analytics Platform

Data warehousing company Teradata is out with a new analytics solution for handling data from a variety of sources. Called QueryGrid, the new offering is intended to provide self-service access to analytic results across a variety of systems from a single query.

The challenge, the company said, is how to connect a wide variety of analytic engines, file systems, storage techniques, procedural languages and data types into a single architecture. The new solution, part of a series of announcements the company made at its Teradata Universe event now taking place in Prague, is designed to use the combined power of specialized processing engines in a cohesive environment inside and outside of its Unified Data Architecture.

The company's Unified Data Architecture is a partnership with Hortonworks enterprise data platform that integrates the open source big data framework Hadoop with the Teradata Database and Teradata Aster Discovery Platform.

'Value from Big Data'

Scott Gnau, president of Teradata Labs, said in a statement that attempts at a federated approach haven't worked. "To deliver value from big data," he said, "customers should create an architecture that allows the orchestration of analytic processes across parallel databases rather than federated servers."

He added that QueryGrid, which will be available in the third quarter, takes this approach. "After the user selects an analytic engine and a file system, Teradata software seamlessly orchestrates analytic processing across systems with a single SQL query, without moving the data." Multiple file systems and engines are allowed in the same workload.

In a posting on the company blog, Gnau similarly promoted QueryGrid's ability to "submit a single query to a single system and have it use data and specialized analytics capabilities from many other systems to get the answer." This, he said, allows processing to occur where the data resides.

The company has also announced the enterprise-class Teradata Active...

Comments are closed.