Adoption of big data technology has changed many business organizations' perspective on data and its value. Traditional data infrastructure has been replaced with big data platforms offering capacity and performance increases at a linear cost increase, compared with traditional infrastructure's exponential cost increase. This change in how businesses store and process their data has led them to derive more insight from their existing data by combining multiple datasets and sources to yield a

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... e complete view of their customers and operations. The success of businesses using big data to change how they operate and interact with the world has made many other businesses prioritize big data rollouts as IT initiatives to realize similar results. Hadoop has been at the center of this big data transformation, providing an ecosystem with tools for businesses to store and process data on a scale that was unheard of several years ago. Two key components of the Hadoop ecosystem are Hadoop Distributed File System and Hadoop MapReduce; these tools enable the platform to store and process large datasets (terabytes and above) in a scalable and cost-effective manner.