1. The Evolution of Data Processing Frameworks and Using the Right Tool for the Right Job

    The common tools of the past included Relational Database Management Systems (RDBMS) commanded by using Structured Query Language (SQL), and these are still very much in-use today where they still fit. Over the last decade we’ve seen the rise of “Big Data” frameworks such as Hadoop, Cassandra, and MongoDB bring greater levels of speed, capacity, and efficiency to this process or sorting through larger volumes of data. The next few years should give way to even more new tool combinations used in concert to form a fully modern data pipeline leveraging the best of both batch and real-time analytics. 

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