• 3# Piethein Strengholt - The art of data management at scale

  • 2021/09/22
  • 再生時間: 42 分
  • ポッドキャスト

3# Piethein Strengholt - The art of data management at scale

  • サマリー

  • Data management is one of the biggest barriers for enterprises to create impact with AI. Simply put, it means that companies often struggle to stay in control of and get value out of their data. In this episode of the AI Change Makers podcast, we talk to Piethein Strengholt, who currently works as a cloud solution architect at Microsoft, about what these typical data management challenges look like and how you can go about solving them. Piethein has acquired extensive knowledge and experience on the topic over the years, especially during his former role designing and implementing data mesh architectures at ABN AMRO. Based on this, he recently published the book ‘’Data Management at Scale’’, a practical guide for how to build a modern scalable data landscape. And there a lot of factors to be considered! To start exploring this topic, the most common challenges, their solutions as well as best practices for doing data management right – tune in now!

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あらすじ・解説

Data management is one of the biggest barriers for enterprises to create impact with AI. Simply put, it means that companies often struggle to stay in control of and get value out of their data. In this episode of the AI Change Makers podcast, we talk to Piethein Strengholt, who currently works as a cloud solution architect at Microsoft, about what these typical data management challenges look like and how you can go about solving them. Piethein has acquired extensive knowledge and experience on the topic over the years, especially during his former role designing and implementing data mesh architectures at ABN AMRO. Based on this, he recently published the book ‘’Data Management at Scale’’, a practical guide for how to build a modern scalable data landscape. And there a lot of factors to be considered! To start exploring this topic, the most common challenges, their solutions as well as best practices for doing data management right – tune in now!

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