Posted by: David Besemer
analytics, Big Data, Data Federation, Data Integration, Data Virtualization, Performance, Products, Strategy, Uncategorized
Big data opens the door to unprecedented analytic opportunities for business innovation, customer retention and profit growth. However, the big data skills shortage is creating a bottleneck at every organization today as they move from early big data experiments into enterprise scale adoption. This constraint limits big data analytics success.
Faster to Build, While Also Leveraging SQL
Five to ten times faster to build than traditional data integration methods and leveraging industry-standard SQL, data virtualization offerings address this skills shortage directly. As a result, data virtulization users can accelerate ahead of their competitors by developing more-extensive big data analytics far sooner.
The key to analytics is data. The more data the better, and that includes big data as well as the myriad other sources. But SQL is the key to unlocking big data’s value to the rest of the enterprise. Nearly everyone knows SQL, but very few know MapReduce. Data virtualization platforms, like Composite’s can help organizations bridge this gap and accelerate their big data analytics efforts.
Staying on the Leading Edge
Composite was the first data virtualization vendor to support Hadoop integration with its June 2011 release of its Data Virtualization Platform. Composite 6 provided a standardized SQL approach to augment specialized MapReduce coding of Hadoop queries. By simplifying integration of Hadoop data, organizations could for the first time extend their analytics and BI to include this emerging “big data” source as well as enterprise, cloud and other data sources.
With Composite 6.1 in February 2012, Composite became the first data virtualization vendor to enable MapReduce programs to easily query Composite as a data source, on-demand with high performance. This allowed enterprises to extend MapReduce analyses beyond Hadoop stores to include diverse enterprise data managed by Composite.
With Composite’s recent 6.2 SP3, Composite maintains its big data integration leadership with updates of its support for Hive access to the leading Hadoop distributions including Apache Hadoop, Cloudera Distribution (CDH) and Hortonworks (HDP). In addition, Composite now also supports access to Hadoop through HiveServer2 and Cloudera CDH through Impala.