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 ...

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 ...

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 ...

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 ...

Hadoop stores massive amounts of data across many computers safely.Spark processes big data much faster than traditional ...

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 ...

Hadoop introduced a new way to simplify the analysis of large data sets, and in a very short time reshaped the big data market. In fact, today Hadoop is often synonymous with the term big data. Since ...

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 ...

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Hadoop is a popular open-source distributed storage and processing framework. This primer about the framework covers commercial solutions, Hadoop on the public cloud, and why it matters for business.