
Sign up to save your podcasts
Or


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.
By Thoughtworks4.5
4141 ratings
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.

271 Listeners

380 Listeners

291 Listeners

625 Listeners

155 Listeners

285 Listeners

146 Listeners

987 Listeners

188 Listeners

181 Listeners

210 Listeners

203 Listeners

245 Listeners

10 Listeners

62 Listeners

1 Listeners

0 Listeners

64 Listeners