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Data Mesh on AWS and Amazon Datazone | S01 E06 | Lets Talk About Data Show

In this show we discuss about the new services like Data Mesh and Amazon Datazone and how customers can create data domain for their specific usecase. The second part of the demo focuses on creating the Data Domain.

Tony Mullen
Tony Mullen
Amazon Employee
Prasad Maktar
Prasad Maktar
Amazon Employee
Published Oct 23, 2023

Screenshot from the stream or an image related to the topic

In this episode of Lets Talk About Data we discuss about the new services like Data Mesh and Amazon Datazone and how customers can create data domain for their specific usecase. The second part of the demo focuses on creating the Data Domain.

Check out the recording here:

Prasad Matkar, RDS Specialist Solutions Architect @ AWS

Vincent Gromakowski, Principal Analytics Solutions Architect @ AWS

Dzenan Softic, Senior Start-up Solutions Architect @ AWS

  • JPMC example = https://aws.amazon.com/blogs/big-data/how-jpmorgan-chase-built-a-data-mesh-architecture-to-drive-significant-value-to-enhance-their-enterprise-data-platform/
  • GoDaddy example = https://aws.amazon.com/blogs/big-data/how-godaddy-built-a-data-mesh-to-decentralize-data-ownership-using-aws-lake-formation/
  • Custom solution using AWS Analytics Reference Architecture https://aws.amazon.com/blogs/big-data/use-an-event-driven-architecture-to-build-a-data-mesh-on-aws/
  • Engie customer story = https://aws.amazon.com/solutions/case-studies/engie-aws-analytics-case-study/?nc1=h_ls
  • Analytics Reference Architecture (ARA CDK library) = https://github.com/aws-samples/aws-analytics-reference-architecture

  • Prasad: (https://www.linkedin.com/in/prasad-matkar-37063715/)
  • Vincent Gromakowski (https://www.linkedin.com/in/vincent-gromakowski/)
  • Dzenan Softic (https://www.linkedin.com/in/dzenansoftic/)