Effectively converging, managing and using enterprise data is a huge undertaking. Enterprises have vast hoards of data, but those hoards exist within siloed systems and applications, and it requires a lot of manual effort by highly skilled data scientists, engineers and analysts to extract value from all that data. Data preparation is a rudimentary and necessary task, but it prevents engineers from focusing their time on the high-value tasks like identifying security gaps or storytelling … More
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