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 ...

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 ...

For businesses that want to run analytics on low-cost Hadoop clusters, fully compliant SQL is now possible natively on the big data platform, according to Actian.

Today Concurrent, the company behind the Cascading Hadoop abstraction framework, announced a new trick to help developers tame the elephant. The company, which is focused on simplifying Hadoop, has ...

As for the use of SQL, Nakamura has a very simple explanation: SQL is 10x Java, and it represents a must-have for the development world. If Hadoop crosses over into the mainstream skills set, SQL ...

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 ...

SPECIAL FEATURE: As more enterprises begin to adopt the Hadoop big data wrangling technology, there is a growing need for SQL convergence.

Both HANA and Spark can speak SQL, but with Vora SAP is not only making Spark speak a better and richer dialect of SQL – one that has support for the data hierarchies that are required for online ...

MapR Technologies announced the addition of Apache Drill 0.5 to the MapR Distribution including Hadoop.

SQL is the gateway drug to enterprise adoption says analysts at recent developer conference. Hadoop Summit, leading big data developer conference, saw the maturation of the Hadoop ecosystem ...

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 ...

As a result, he noted, much of the excitement around Hadoop has moved toward more ambitious, higher-level work like running SQL queries against Hadoop via Stinger or using Spark to perform high ...