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Over the years, there have been numerous approaches to data management: from data warehouses and data marts to data lakes — collating data in a central place. Today, we see many failure modes when it comes to building big data platforms, with organizations stuck in building data architectures such as data lakes that never deliver business value.
In our latest episode, we explore the ideas of data meshes, an alternative approach to serve and surface data organizationally. Our regular co-hosts Mike Mason and Neal Ford talk to Ken Collier, Head of Data Science and Engineering at ThoughtWorks, and Zhamak Dehghani, one of our regular co-hosts and also a Principal Consultant, with a focus on distributed systems architecture.
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Over the years, there have been numerous approaches to data management: from data warehouses and data marts to data lakes — collating data in a central place. Today, we see many failure modes when it comes to building big data platforms, with organizations stuck in building data architectures such as data lakes that never deliver business value.
In our latest episode, we explore the ideas of data meshes, an alternative approach to serve and surface data organizationally. Our regular co-hosts Mike Mason and Neal Ford talk to Ken Collier, Head of Data Science and Engineering at ThoughtWorks, and Zhamak Dehghani, one of our regular co-hosts and also a Principal Consultant, with a focus on distributed systems architecture.
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