logo
Menu

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
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:
Loading...

Hosts of the show 🎤

Prasad Matkar, RDS Specialist Solutions Architect @ AWS

Guests

Vincent Gromakowski, Principal Analytics Solutions Architect @ AWS
Dzenan Softic, Senior Start-up Solutions Architect @ AWS

Links from today's episode

  • 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

Reach out to the hosts and guests:

  • 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.

Comments