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 intelligence ...

It's hard to believe, but it's true. The Apache Hadoop project, the open source implementation of Google's File System (GFS) and MapReduce execution engine, turned 10 this week. The technology, ...

If you run a data warehouse at your organization, you may be wondering how the latest big data technologies, such as Hadoop, can benefit your information analysis. According to IBM product manager ...

Like much ground-breaking IT (such as TCP/IP or Unix), Hadoop wasn’t originally built with the enterprise in mind, let alone enterprise security. Hadoop’s original purpose was to manage publicly ...

In the big data battle for architectural supremacy, the cloud is clearly winning and Hadoop is clearly losing. Customers are shying away from investing in monolithic Hadoop clusters in favor of more ...

The recent unveiling of the Open Data Platform with Pivotal is a sign of telling changes afoot in the Hadoop market, according to Hortonworks president Herb Cunitz. Read now Despite the apparent ...

Informatica has strengthened its hand in the burgeoning market for Hadoop, the open-source programming framework for large-scale data processing, unveiling a new data parser on Wednesday that can ...

If 2014 was the year that Apache Hadoop sparked the big data revolution, 2015 may be the year that Apache Spark supplants Hadoop with its superior capabilities for richer and more timely analysis.

For all of Hadoop’s growth and acceptance as an enterprise technology, it still lacks key features. Some of its shortcomings, such as consistent data governance methodologies, are too important to ...

As a poster child for big data, Hadoop is continually brought out as the reference architecture for big data analytics. But what exactly is Hadoop and what are the key points of Hadoop storage ...