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 ...

With a Hadoop deployment, every server in the cluster can participate in the processing of the data through Hadoop’s capability to spread the work and the data across the cluster.

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 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.

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 ...

Centrica, the utility whose brands include British Gas and Hive, has deployed a selection of big-data tools in a bid to improve customer satisfaction and business processes. Daljit Rehal, director ...

Informatica has modified its business intelligence software so that it can work with Cloudera’s Hadoop distribution, the two companies announced Monday. Users of the Informatica’s business ...

Concurrent, Inc: “I believe enterprises have the most to gain from using Hadoop, but the Apache version hasn’t fully delivered on that promise,” noted Chris Wensel, CEO and Founder of ...