Hadoop enables companies to collect and process massive amounts of data that was once thought of as too expensive or unwieldy to store and analyze.

Save on these online courses dedicated to Hadoop, the data analyzing software that tech companies use Go from Big Data zero to hero.

Traditional business intelligence solutions can’t scale to the degree necessary in today’s data environment. One solution getting a lot of attention recently: Hadoop, an open-source product ...

The right way to exploit Hadoop is a decision that is going to be analyzed over and over for the next few years. Here’s my suggestion about finding the right way to put Hadoop to work.

The most widely used tool in mass data analysis is currently Hadoop, an open source software framework that supports the running of applications on large clusters of hardware.

For the first production release of what will be its flagship Apache Hadoop distribution, Hortonworks has focused on providing a set of tools to help deploy, manage, and extend the data analysis ...

Databricks believes that big data is a huge opportunity that is still largely untapped and wants to make it easier to deploy and use.

Enterprises seem to be curious about using Hadoop for business intelligence duties, particularly for data sets too large to fit in traditional data warehouses.

Open-source big-data platform Hadoop excels at batch-mode processing at scale but it was never designed for real-time analytics. ScaleOut Software has middleware that it thinks addresses the issue.