Data analytics firm SAS has added support for big data analytics platform Hadoop in a new update to its SAS Enterprise Data Integration Server.
The partnership will allow organisations to query Hadoop repositories, which can store and process large amounts of unstructured and structured data, using SAS analytics technology.
The SAS Data Integration Server will connect the SAS analytics environment to the Hadoop environment, which will be used by SAS as a pre-processing platform.
The NoSQL Hadoop technology allows applications to work quickly with thousands of nodes and petabytes of structured and unstructured data.
Jim Davis, SAS senior vice president and chief marketing officer, said the firm would utilise Hadoop as it recognised more organisations plan to deploy the platform.
"Bringing SAS Analytics to Hadoop takes advantage of its distributed processing capabilities and helps effectively manage Hadoop deployments," he said.
"SAS's extensive data and analytics management software helps enterprises pull value from Hadoop deployments using minimal resources," he said.
Increasing numbers of companies are using Hadoop for the types of analyses that business intelligence tools and SQL analysis tools are not designed to handle.
As MWD Advisors analyst Helena Schwenk told V3 the move to Hadoop made sense for SAS.
"This is big for SAS. It marks a departure for them in that they have been a little bit reticent to embrace Hadoop, bearing in mind many of their competitors in the market have already embraced the platform, whether that's Terradata, Oracle or IBM," she said.
"But it is a smart move for SAS to make. What SAS can bring to bear is the analytical capabilities that can really help organisations drive value out of big data and uncover the hidden nuggets of information."
After six years of open source development, the Apache Software Foundation (ASF) recently announced the first official release of Hadoop 1.0.
Hadoop is a collection of software including: a distributed file system, which can handle large amounts of data storage; map reduce, which processes the data; and common, which is the shared infrastructure that supports the project.
Hadoop is already used by some of the largest internet firms in the world, including Amazon Web Services, AOL, Apple, eBay, Facebook, Foursquare, HP, LinkedIn, Netflix, Rackspace, Twitter and Yahoo.
Other companies such as IBM and EMC have integrated Hadoop into their offerings to allow their customers to process large amounts of unstructured data.
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