Extending MemSQL Analytics with Spark | Databricks



Extending MemSQL Analytics with Spark | Databricks

February 19, 2015 by Gary Orenstein, MemSQL   Coupling operational data with the most advanced analytics puts data-driven business ahead. The MemSQL Spark Connector enables such configurations. Meeting Transactional and Analytical Needs Transactional databases form the core of modern business operations. Whether that transaction is financial, physical in terms of inventory changes, or experiential in terms of a customer engagement, the transaction itself moves our business forward. But while transactions represent the state of our business, analytics tell us patterns of the past, and help us predict patterns of the future. Analytics can tell us what levers influence profitability and put us ahead of the pack. Success in digital business requires both transactional and analytical prowess, including the foremost means to analyze data. Speed and Agility with MemSQL and Spark As a real-time database for transactions and analytics,

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