Actian is describing the newly announced Hadoop Edition of its analytics software as the first platform with full SQL support designed to run entirely natively on the distributed big-data framework.

The global volume, velocity and variety of data are all increasing, and these three dimensions of the data deluge—the massive growth of digital information—are what make Hadoop software ideal for big ...

SAN FRANCISCO--(BUSINESS WIRE)--Splunk Inc. (NASDAQ: SPLK), provider of the leading software platform for real-time operational intelligence, today announced the next evolution of big data analytics ...

EMC today announced a comprehensive strategy for distributing, integrating and supporting the Apache Hadoop open-source software as an enterprise-ready tool for Big Data. EMC introduced the world's ...

DUBLIN--(BUSINESS WIRE)--The "Hadoop Big Data Analytics Market - Growth, Trends, COVID-19 Impact, and Forecasts (2023 - 2028)" report has been added to ResearchAndMarkets.com's offering. The Hadoop ...

Apache Hadoop is becoming the de facto infrastructure environment for pushing data across a distributed infrastructure to then later analyze with MapReduce in an effort to optimize web pages, ...

Amazon Web Services (AWS) has updated its Elastic Map Reduce platform with a new version of Hadoop and updated support for its data analytics ecosystem. Elastic Map Reduce is AWS platform for ...

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 ...

If you thought Big Data open source project names were whimsical thus far, get ready for a new precedent in this trend. Splunk has taken its machine Big Data analytics platform and generalized it to ...

The Hadoop programming framework may be synonymous with the “big data” movement but it’s not the only tool companies need to derive insights from massive stores of unstructured information, according ...

A clear big data definition can be difficult to pin down because big data can cover a multitude of use cases. But in general the term refers to sets of data that are so large in volume and so complex ...