Code submitted this week for inclusion in the Hadoop stack will help speed the spread of the distributed big-data platform, according to Hortonworks co-founder Arun Murthy. The submission of the ...

It’s in the nature of hype bubbles to obscure important new paradigms behind a cloud of excitement and exaggerated claims. For example, the phrase “big data” has been so widely and poorly applied that ...

Learn the Basics of Machine Learning & AI Even with No Prior Knowledge Taming Big Data with Spark Streaming& Scala: Hands-On Process Massive Streams of Data in Real Time & Start Working Towards a ...

The floods that devastated the hard disk industry in Thailand are now half a year old, and the prices per terabyte are finally dropping once again. That means data will start piling up and people ...

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, ...

One question I get asked a lot by my clients is: Should we go for Hadoop or Spark as our big data framework? Spark has overtaken Hadoop as the most active open source Big Data project. While they are ...

For some time Microsoft didn’t offer a solution for processing big data in cloud environments. SQL Server is good for storage, but its ability to analyze terabytes of data is limited. Hadoop, which ...

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 ...

For enterprises grappling with the onslaught of big data, a new platform has emerged from the open source world that promises to provide a cost-effective way to store and process petabytes and ...