One of the critical decisions facing companies embarking on big data projects is which database to use, and often that decision swings between SQL and NoSQL. SQL has the impressive track record, the ...

Everybody wants to put data scientists out of work. The latest major vendor to try its hand at democratizing Big Data is Oracle Corp., which today announced a quartet of new products designed "to ...

On Thursday, Google announced a whole series of database and data analytics improvements to its cloud data architecture. In this article, we'll focus on the substantial improvements to Spanner and ...

SQL continues to make inroads in the open source Big Data space this week, with Qubole Inc. open sourcing Quark for SQL virtualization, while MapR Technologies Inc. is converging SQL and JSON in the ...

Another interesting session I attended at the PASS Summit in Seattle was one concerning dealing with VLDBs in SQL Server. It was called “Big Data – Working with Terabytes in SQL Server” presented by ...

It's been amusing to watch the NoSQL movement transition from a "We don't need no stinking SQL" attitude to a "Can I please have some SQL with that?" philosophy. The nonrelational databases that ...

SAN JOSE, Calif., Feb. 19 — Oracle today unveiled new big data solutions that simplify information access and discovery, enabling customers to quickly turn data into business value. New offerings ...

Qubole, a big data-as-a-service company, is open sourcing its Quark platform, a cost-based SQL optimizer. The Quark project is also available in a SaaS implementation via the Qubole Data Service (QDS) ...

Look out Microsoft. New Big Data services with a taste of SQL highlighted a bevy of new offerings added to the Oracle Cloud Platform yesterday. At a live event, exec Larry Ellison was on hand to ...

The decades-old database technology is staging a comeback. SQL and RDBMS are not one and the same thing. SQL is a Structured Query Language. You can make an SQL language implementation even on ...

One of the core challenges in any big-data effort is combining data from multiple sources and turning it into something useful. Your company’s transactional systems might be able to show you what ...