Hadoop also lets companies store data as it comes in - structured or unstructured - so you don't have to spend money and time configuring data for relational databases and their rigid tables.
Since Hadoop can scale so easily, it can also be the perfect platform to catch all the data coming from multiple sources at once.
Providing effective business analytics tools and technologies to the enterprise is a top priority of CIOs and for good reason. Effective business analytics � from basic reporting to advanced data mining and predictive analytics � allows data analysts and business users alike to extract insights from corporate data that, when translated into action, deliver higher levels of efficiency and profitability to the enterprise.
Hadoop: Hadoop is an open source framework for processing, storing and analyzing massive amounts of distributed unstructured data. Originally created by Doug Cutting at Yahoo!, Hadoop was inspired by MapReduce, a user-defined function developed by Google in early 2000s for indexing the Web. It was designed to handle petabytes and exabytes of data distributed over multiple nodes in parallel.
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