Uploaded December 2022 | Updated September 2026, 3 weeks ago
Data Mesh enables development teams within their domain to perform data analytics on their own to improve their services. High-quality analytical data is also made available to other teams as data products.
Data Mesh transfers the principles from DDD, Team Topologies and Microservices to the data world. It also has far-reaching socio-technical implications. But can the additional tasks even be balanced with day-to-day project work?
In this talk, Jochen Christ from INNOQ describes how a Data Mesh architecture can be implemented in practice, which organizational transformations will be necessary and which technologies are suitable for this.
Data Mesh enables development teams within their domain to perform data analytics on their own to improve their services. High-quality analytical data is also made available to other teams as data products.
Data Mesh transfers the principles from DDD, Team Topologies and Microservices to the data world. It also has far-reaching socio-technical implications. But can the additional tasks even be balanced with day-to-day project work?
In this talk, Jochen Christ from INNOQ describes how a Data Mesh architecture can be implemented in practice, which organizational transformations will be necessary and which technologies are suitable for this.
