Apache Hadoop has emerged as the leading technology for helping companies mine big data. And while every organization is different, their big data demands are often similar.

When enterprises interested in leveraging big data and analytics ask how to get started, they often are advised to begin with Hadoop, Apache Software’s open source data storage and processing ...

When enterprises interested in leveraging big data and analytics ask how to get started, they often are advised to begin with Hadoop, Apache Software’s open source data storage and processing ...

Use a distribution from a completer, a company that takes the Apache open source Hadoop code and adds proprietary extensions to complete it for a particular purpose.

Use Cases of Hadoop It’s important to look at the industries that are running Hadoop too. A recent CB Insights survey of 350 venture capital-backed companies sheds some light on this.

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 ...

Early adopters who wanted to work with Hadoop did all the original heavy lifting, figuring out how to get data into the system and what to download and work with.

Apache Hadoop has been the driving force behind the growth of the big data industry. But what does it do, and why do you need all its strangely-named friends, such as Oozie, Zookeeper and Flume?

Cloudera on how the execution engine Apache Spark broadens what companies can do with the big data framework Hadoop. Written by Nick Heath, Contributor Feb. 10, 2014, 6:43 a.m. PT ...