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Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today's Businesses by Ambiga Dhiraj, Michele Chambers, Michael Minelli

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Chapter 3

Big Data Technology

Technology is radically changing the way data is produced, processed, analyzed, and consumed. On one hand, technology helps evolve new and more effective data sources. On the other, as more and more data gets captured, technology steps in to help process this data quickly, efficiently, and visualize it to drive informed decisions. Now, more than any other time in the short history of analytics, technology plays an increasingly pivotal role in the entire process of how we gather and use data.

The Elephant in the Room: Hadoop’s Parallel World

There are many Big Data technologies that have been making an impact on the new technology stacks for handling Big Data, but Apache Hadoop is one technology that has been the darling of Big Data talk. Hadoop is an open-source platform for storage and processing of diverse data types that enables data-driven enterprises to rapidly derive the complete value from all their data.

We spoke with Amr Awadallah, the cofounder and chief technology officer (CTO) of Cloudera, a leading provider of Apache Hadoop-based software and services, since it was formed in October 2008. He explained the history and overview of Hadoop to us:

The original creators of Hadoop are Doug Cutting (used to be at Yahoo! now at Cloudera) and Mike Cafarella (now teaching at the University of Michigan in Ann Arbor). Doug and Mike were building a project called “Nutch” with the goal of creating a large Web index. They saw the MapReduce and GFS papers ...

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