Getting Started with Big Data
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Exploring the Concept
Let’s take a look at some facts about Big Data and its philosophies.
Roger Magoulas, in 2005, coined the term ‘Big Data’ to refer to a large set of data that was then nearly impossible to manage and process with traditional business intelligence tools. 2005 also observed the conception of Hadoop, an open-source framework that could process both structured and unstructured data. This was built on top of Google’s MapReduce and crafted by Yahoo!. Today, the term Big Data pertains to the study and applications of data sets too complex for traditional data processing software to handle. This concept faces challenges in capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy, and data source.
Volume, variety, velocity, and veracity are the 4 V’s of Big Data.