What are some of the cool things in the 2.0 release of Hadoop? To start, how about a revamped MapReduce? And what would you think of a high availability (HA) implementation of the Hadoop Distributed ...

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Have you ever wondered how Google, Facebook and other Internet giants process their massive workloads? Billions of requests are served every day by the biggest players on the Internet, resulting in ...

As a poster child for big data, Hadoop is continually brought out as the reference architecture for big data analytics. But what exactly is Hadoop and what are the key points of Hadoop storage ...

Did you know that 90% of the world’s data has been created in the last two years alone? With such an overwhelming influx of information, businesses are constantly seeking efficient ways to manage and ...

Big data and Hadoop are in the process of transforming enterprise data management architectures. It’s a gold-rush market with pure-plays, enterprise software vendors and cloud vendors are all ...

Storing data in Hadoop generally means a choice between HDFS and Apache HBase. The former is great for high-speed writes and scans; the latter is ideal for random-access queries — but you can’t get ...

Over the past few years there have been numerous eulogies given for Hadoop – the powerful, open-source framework for storing and processing data named after a toy elephant. Of course, one could argue ...

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 ...

First off, in case you're wondering, it's all Cloudera from now on. That's the name the new company will go by, and there's a new-ish logo and branding to go with this too. DataWorks historically was ...