Data scientists are confronted with some major challenges: a fast-changing data storage technology landscape, new restrictive regulations for data privacy, and time-consuming data preparation tasks. In fact, studies have shown that data scientists spend only 20% of their time on real analytical work and as much as 80% of their time on data preparation tasks. In this webinar, we look at how a modern data architecture can help data scientists to be faster and to work more efficiently.
CEO & Founder, R20/Consultancy
CEO & Founder, Data Virtuality
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