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 Enterprise Data Warehouse 6750 platform, or Teradata Active EDW. The industrial-strength platform is intended for the most demanding, real-time workloads with virtually unlimited concurrent users addressing up to 61 petabytes of data.
Speed Plus Depth of Analysis
Active EDW bundles together memory, solid state drive-based flash memory and traditional disk storage, which Gnau told news media provides "speed combined with depth of analysis."
The benefits of EDW include the acceleration of real-time questions through the addition of as much as eight times more main memory than the previous generation released two years ago. The company said that depending on the workload, up to five times as many business questions can now be handled in the same timeframe.
Additionally, there is three times more flash memory in the SSD than in previous generations, affording faster responses against more data and a 40 percent increase in data processing performance.
Teradata also released Monday its Database 15, a new logical data warehouse. It is designed for orchestrating analytics queries across multiple systems, integrating and consuming JSON data, and writing and running non-SQL languages in-database.