This is a comprehensive Apache Hadoop and Spark comparison, covering their differences, features, benefits, and use cases. Apache Spark and Apache Hadoop are both popular, open-source data science ...

The model of distributed calculations, where a problem is broken down into distinct parts that can be solved individually on a computer and then recombined, has been around for decades.

With the Hadoop Summit conference coming next week (June 3-5), it might be useful for all newbies to get up to speed with this exciting distributed computing technology. Below is a video presentation ...

SANTA CLARA, Calif.--(BUSINESS WIRE)--Yahoo! Inc. (Nasdaq:YHOO), the leading developer of Apache Hadoop, today announced significant enhancements to the open source software, accelerating the ...

Big-data pioneer Cloudera Inc. has made a successful transition to the post-Hadoop era. As was evident in its announcements today, the company has evolved its solution portfolio and customer adoption ...

For our flagship broadcast program theCUBE, Jeff Kelly interviewed Vaclav Petricek, Principal Data Specialist with eHarmony, live from Hadoop Summit 2013, talking about long term compatibility and the ...

It is hard to think of a technology that is more identified with the rise of big data than Hadoop. Since its creation, the framework for distributed processing of massive datasets on commodity ...

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 ...