SQL is, arguably, the biggest workload many organizations run on their Hadoop clusters. And there’s good reason why: The combination of a familiar interface (SQL) along with a modern computing ...

Investments in performant SQL on Hadoop are creating new opportunities to both modernize legacy data platforms and tap into existing developer skillsets, making analytics on Big Data not only ...

Impala, part of Cloudera Distribution Including Apache Hadoop (CDH) 4.1, is a native SQL query engine that runs on Hadoop clusters, providing easy query access to raw HDFS data and to HBase databases.

SQL on Hadoop also allows businesses to easily integrate Hadoop into their existing technology stack and reduces the learning curve required to use the platform. There are a number of different SQL-on ...

Impala changes the equation for Hadoop, giving users answers to their queries in seconds rather than hours, says Cloudera CEO Mike Olson in the Cube at the Strata/HadoopWorld 2012 conference. His ...

Experienced data management professionals are adopting Hadoop, and they want to use their SQL skills and tools with Hadoop data.

Microsoft released two community technology preview (CTP) test versions of its Hadoop connectors today, one that works with Microsoft's current flagship SQL Server and other with its data ...

Teradata Aster has launched a new tool which allows business analysts to work with Hadoop data through SQL query structures. Its Aster SQL-H provides a bridge between widely used business ...

On and off, over the years, I have followed and written about the SQL-on-Hadoop saga. The adventure started with Apache Hive, which originally provided a SQL layer on top of MapReduce, bringing ...