Oracle unveiled Big Data Appliance for processing massive amount of Social Networking data such as Weblogs, social media feeds, smart meters, sensors and other devices generate massive volumes of data (commonly defined as ‘Big Data’) that isn’t readily accessible in enterprise data warehouses and business intelligence applications today. Oracle Big Data Appliance, in conjunction with Oracle Exadata Database Machine and the new Oracle Exalytics Business Intelligence Machine, delivers everything customers need to acquire, organize, analyze and maximize the value of Big Data within their enterprise. Big Data Appliance includes an open source distribution of Apache “Hadoop“, Oracle NoSQL database, Oracle Data Integrator for Hadoop, Oracle Loader for Hadoop and even open source distribution of R.
IBM is also planning to create an analytic application for Apple iPad which will enable to analyze large amount of data in the cloud according a news reports in WSJ. It indicates IBM plans to release an software & hardware appliance which will support Big Data analytics. IBM already acquired Netezza which has the BI analytical engine. So it is expected more activities on this space.
EMC is also working actively on the Greenplum anlaytics appliance. The company has unveiled the world’s first purpose-built, high-performance, data co-processing Hadoop appliance — the Greenplum HD Data Computing Appliance. According to John Webster, Senior Partner from Evaluator Group: “Hadoop has played a leading role in the transformation from traditional data warehousing to Big Data Analytics. EMC’s Hadoop commercialization strategy is aimed at streamlining and bulletproofing Hadoop for enterprise users, making Hadoop more of a must-have real-time analytics tool for the enterprise.”.
HP is also on this Big Data Anaytics space where Autonomy, a HP company from a recent acquisition, is revolutionizing Meaning Based Computing(MBC) to analyze both structured and unstructured data. There is a challenge of processing structured data using BI analytics and there is a challenge of processing unstructured data from email to facebook conversations to twitter tweets.
Not only Oracle, IBM, EMC, HP are in the game but there is another important big player Teradata as well. Teradata acquired Aster Data which has the appliance called Terdata Aster Map Reduce platform is also doing heavy duty BI analytics.
So there are plenty of competition and mad rush to ensure Big Data analytics is the core offering along with unstructured data analytics. In all the unstructured processing, Big Data processing is becoming the central core component. Hadoop is penetrating hard into corporate BI analytics where only structured processing was the only defacto standard so far.
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