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
Amazon Employee
Published Oct 23, 2023
Last Modified Apr 22, 2024
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:
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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/)
Any opinions in this post are those of the individual author and may not reflect the opinions of AWS.