Introduction Data analytics is an essential part of any business strategy. Businesses, governments, and individuals worldwide use data to make responsive, informed, and timely decisions using performant data analytics. It’s not enough anymore to set a business goal and work toward it; in order to stay relevant in today’s market, organizations need to have a finger on the pulse of their business in real time. For most organizations, this means stitching together a multitude of services to run analytics. This approach results in brittle, high-maintenance architectures that drain resources to manage technology, resources that ought to be spent on responding to new opportunities.

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