UPDATED 13:00 EDT / APRIL 08 2014

Teradata puts the logical data warehouse puzzle together with new product releases

explaination point question mark puzzle pieces predictive analytics big dataTeradata hopes to deliver the elusive promise of the logical data warehouse with a new version of its flagship platform that extends into the Internet of Things and provides a single point of access for the entire enterprise analytics stack.

Teradata Database 15 introduces deep support for the JSON (JavaScript Object Notation) interchange format, the standard delivery mechanism for fast-moving information that has to be readily accessible while it’s still fresh. That means users can now process machine-generated data like sensory transmissions in the native syntax, which makes it considerably easier move workloads in and out of the warehouse and thus speed the overall analytical process.

“Storing detailed data in the native data format enables the best world-class analytics, we’ve seen that happen as long as my crew has been in the traditional data space,” Teradata products head Scott Gnau told SiliconANGLE in an exclusive interview on theCUBE at Hadoop Summit 2013.

In addition to JSON, the release works with the Perl, Ruby, Python, and R scripting languages as well, allowing developers to take advantage of the embedded in-database analytics capabilities without mastering parallel programming or extract information into a separate system. This enables three-dimensional geospatial and temporal analytics, another new feature of the platform, and other advanced use cases that require a combination of performance and low latency.

Under the hood, Teradata Database 15 features improved availability and faster query processing as well as tighter integration with the company’s Active System Management and Integrated Workload Management solutions. The latter enhancement simplifies management and lets admins to share infrastructure resources among applications, the company said.

Teradata announced the latest version of the platform at its Universe conference in Prague this morning alongside a new offering called QueryGrid that makes it possible for users to query multiple information sources at a time, including competing warehouses and Big Data tools like Hadoop. Instead of physically importing the relevant data, the software pushes queries down to the target system for improved performance. It allows customers to always pick the right tool for the job, an approach that, according to Gnau, his firm had embraced early on.

“Sure, some workloads will move around the infrastructure from the data warehouse to Hadoop clusters. If Hadoop is a great solution for it, it should go there,” the executive said, adding that Teradata sees an opportunity rather than a threat.
“At the same time, there is more demand than there is supply of technology. The demand for analytics is so extreme that adding this tool to the toolkit gives customers more choice and gives them the opportunity to catch up with the backlog of things they wanted to invest in,” he noted.

The software update are joined by a beefed up configuration of the firm’s Enterprise Data Warehouse (EDW) 6750 appliance that combines the newest version of SUSE Linux with speedy Intel Xeon 2600 V2 processors and E5500 SAN arrays from NetApp. The system packs 40 percent more horsepower and eight times more raw capacity as the previous generation solution, according to Teradata, as well as three times as much flash memory. It also features the company’s homegrown Virtual Storage software, which automatically places frequently used “hot data” in the SSD tier for faster access.

photo credit: Horia Varlan via photopin cc

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