Data Mesh Learning Newsletter #050
Final newsletter of 2023!
As we prepare to close out another year, we want to say thank you to our community of more than 8,000 data pros, including those just getting started with data mesh and those further along. The Data Mesh Learning Community exists to help provide resources for those on a data mesh journey - from hosting meetups and Slack discussions to publishing blogs from data mesh leaders - and this work would not be possible without your collaboration and support. We have some exciting things in the works for 2024, and we can’t wait to share them with you soon.
In the meantime, here’s our final newsletter of 2023. Happy holidays and best wishes for the new year!
Community Conversations
ICYMI: These are some featured conversations from the Data Mesh Learning Slack group that have taken place recently.
Large companies in the manufacturing space find it challenging to capture and process large volumes of real-time sensor data. What can data mesh do for this specific IoT/streaming realm?
Is it becoming an anti-pattern to try to replicate the experience of Amazon?
Do you have a topic you’d like to explore with the community? Be sure to connect with us on Slack.
Data Mesh Learning On Demand
Did you know that can find recordings of recent Data Mesh Learning discussions and virtual events on the Data Mesh Learning YouTube channel?
Here’s a snapshot at some of the latest recordings you can now replay:
Data Mesh Content Unzipped
GraphQL for Data Products
Sanjeev Mohan, Principal, SanjMo & Former Gartner Research VP, Data & Analytics
What if the worlds of data products and large language models collide? Could we have a chat interface that simply asks questions to data products in natural language and get back responses? And if so, what would that access pattern look like?
Three Methods to Trust Data Mesh in Financial Services
Andrea Novara, Banking and Payments Business Unit Leader at Agile Lab
Unlocking the potential of data in the financial services industry has long been hindered by persistent challenges. What if there was a solution that could revolutionize how we approach these obstacles?
Building Scalable Data Mesh Solutions: Lessons from Disney Streaming
Melissa Logan, Director, Data Mesh Learning Community
This article delves into the insights from Himateja Madala, Senior Data Engineering Manager and Head of the Data Mesh Data Platform at Disney Streaming, providing guidance on how organizations can build their own scalable and automated data mesh framework.
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