Google and its MapReduce framework may rule the roost when it comes to massive-scale data processing, but there’s still plenty of that goodness to go around. This article gets you started with Hadoop, ...

When Morgan tried to do some portfolio analysis 18 months ago it found that traditional databases and grid computing just wouldn’t scale to the very large volumes of data that its data scientists ...

Apache Spark is a project designed to accelerate Hadoop and other big data applications through the use of an in-memory, clustered data engine. The Apache Foundation describes the Spark project this ...

Apache Spark and Apache Hadoop are both popular, open-source data science tools offered by the Apache Software Foundation. Developed and supported by the community, they continue to grow in popularity ...

When it comes to industries that are actively adopting Hadoop and big data analytics frameworks, those in the risk management and financial services businesses are the cream of the crop for production ...

Here's a look at different ways to query Hadoop via SQL, some of which are part of the latest edition of MapR's Hadoop distribution SQL: old and busted. Hadoop: new hotness. That’s the conventional ...

Just a decade ago, the enterprise IT push was to make Hadoop the platform for storage and analytics. At that time, cloud hesitancy was still looming for large on-prem organizations. Hadoop, no matter ...