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Big data is both feared and admired for its reach into our lives, and its promise for complex problem solving and machine learning. Databricks’ analytics platform allows data science teams and engineers to quickly analyze large data sets to drive innovation in their companies. Curtice Smith, corporate controller at Databricks, gives us a primer on the company’s start up roots, and the challenges he faces keeping up with a business that has twice landed on LinkedIn’s Top Startups list. One thing our team learned, a company that is one of the fastest growing tech companies in the Bay Area has no quiet spaces. Our apologies for less than stellar sound.
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Big data is both feared and admired for its reach into our lives, and its promise for complex problem solving and machine learning. Databricks’ analytics platform allows data science teams and engineers to quickly analyze large data sets to drive innovation in their companies. Curtice Smith, corporate controller at Databricks, gives us a primer on the company’s start up roots, and the challenges he faces keeping up with a business that has twice landed on LinkedIn’s Top Startups list. One thing our team learned, a company that is one of the fastest growing tech companies in the Bay Area has no quiet spaces. Our apologies for less than stellar sound.