Preface
Processing historical data for the past 10-20 years, performing analytics, and finally producing business insights is the most popular use case for today's modern enterprises.
Enterprises have been focusing on developing data warehouses (https://en.wikipedia.org/wiki/Data_warehouse) where they want to store the data fetched from every possible data source and leverage various BI tools to provide analytics over the data stored in these data warehouses. But developing data warehouses is a complex, time consuming, and costly process, which requires a considerable investment, both in terms of money and time.
No doubt that the emergence of Hadoop and its ecosystem have provided a new paradigm or architecture to solve large data problems where ...
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