Best Practices for Implementing DataOps with a Data Science Platform

November 7, 2017 | 10:00 a.m. - 11:00 a.m. PST | Virtual

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    • Companies that bring automation and collaboration to their data management strategy are embracing DataOps, an agile methodology that reduces the time needed to derive value from data. When implemented using a data science platform, DataOps can help scale the work of your data science team, get models into production faster, and ultimately drive innovation at your company — but only if you have the right processes in place. Chief Strategy Officer William Merchan and MapR VP of Technology Strategy Crystal Valentine hosted a free webinar on Tuesday, November 7, at 10 a.m. PST.

      Attendees learned:
      • The benefits of applying a DataOps approach to your data science workflow.
      • Best practices for IT teams that support data scientists.
      • How MapR and customers are putting DataOps into practice.


William Merchan
Chief Strategy Officer,
William Merchan leads business and corporate development, partner initiatives, and strategy at as chief strategy officer. He most recently served as SVP of Strategic Alliances and GM of Dynamic Pricing at MarketShare, where he oversaw global business development and partner relationships, and successfully led the company to a $450 million acquisition by Neustar.
Crystal Valentine
VP Technology Strategy, MapR
Crystal Valentine has an extensive background in big data research and practice. Before joining MapR, she was a professor of computer science at Amherst College. As a former consultant at Ab Initio Software working with Fortune 500 companies to design and implement high-throughput, mission-critical applications and as a tech expert consulting for equity investors focused on technology, she has developed significant business experience in the enterprise computing industry. Dr. Valentine received her doctorate in Computer Science from Brown University and was a Fulbright Scholar to Italy.