What a great presentation and introduction into the Data Mesh paradigm! Super helpful! Thanks a lot Zhamak!

Excellent introduction on Data Mesh.. I feel for the organisation which are already evolving towards Domain Oriented microservices this will be the perfect model to take care the Data Platform as well

To have the privilege of being the first to “like” the concepts on your video 🙂. From the Healthcare Industry, to begin the journey to “mesh” successfully via federated data governance, where the business defines the quality, the meaning, the value also requires teachers and guides who can speak the language of the clinician and the engineers. There are but a few of us, and it’s beyond exiting to help organizations succeed. But oh how I wish we could teach more quickly #DataScienceIsAmazingFun #SendTheStudents #RecruitTheCuriousYetDedicated

Thanks, Zhamak for introducing the intriguing concept of data mesh Thanks a lot!

Excellent introduction to the concepts of Data Mesh. Thank you.

Very well explained about Data Mesh . Thanks Zhama!

Definitely an insightful look into Data. I loved the notion of thinking and treating Data as a Product. Hope organisations will be mature enough to understand and embrace data mesh thinking. I am also looking to Data Mesh as a way to exchange data between organisations.

Insightful analyses. Thanks Zhamak!

Amazing concept and very beautifully explained concept.

This is such a great introduction! Thank you Zhamak!

What a great explanation of why this sort of shift is needed. I'd love to compare the business cases for data lakes from 2010's to the business cases for data mesh in the 2020's.

for those short on time go straight to 13:00

Really excellent. Thank you Zhamak!

Very good presentation... Needs a lot more views!

Very nice introduction. Thank you for this!

Great presentation Zhamak. Very insightful and informative. I took a bunch of notes and would have been great to ask you questions. I think the industry and functional owners on the customer side generally talk in terms of solution space and capabilities, whereas what execs are thinking about in the problem space is all about how to make more effective use of data, trusting and understanding reports and creating a data-driven culture / decision making etc. I enjoyed learning about some of this from this video.

Very impressive for the data evolution from warehouse, to lake and to mesh.

Very clear and insightful presentation! This is going to provide more flexibilities to the organisation to cope with the latest business challenges

Definitely a next step vision for bringing consumers one step closer to sources.. however as you said it requires organisational change along with technology and architecture.

awesome content and beautifully explained, thank you

Data as a product is whats more fascinating piece for me❤

Awesome presentation !!

This is exactly what I am doing for 5g Data Mesh architecture .... where Network Data as a Service ... because simply centralized model is not going to work .... data is the oil .... but it is evaporating oil it needs to be used, monitored, serviced, secured reliably in a very short amount of time .... time is the essence .... But nice presentation .....

Just amazing !!

This is missing the business architecture topology that (sets the boundaries for domains, and therefore Data Products) and value streams which connect processes between capabilities (which domain context maps, and therefore Data Product interfaces, can be advised by). Without this, we'll recreate the mess of data silos where a "domain" is abused by following the existing org design (ala Conway). It's a great concept, and I have no doubt some enthusiastic early adopting enterprises would start doing this, but they will come back to some of the concepts that Data Mesh departs away from to undo the mess. I love the thinking here, and I believe would be a good fit with the abstractions in MIT CISR's Designed for Digital book. You have to think about the consequences of the topologies you create or grossly misalign the data landscape with the business and technological ones.

What are your thoughts on Master data management and data quality associated with that? Thats where some of the biggest challenges are in all the data platform projects.....

Do you find once you start building these different models or domains, that you actually end up finding / linking the domains more than ever before?

I would say, trusting someone means believing that they have good/positive/empowering intentions for the context.

Great

Extortionary detail information about data mesh. Thank u

Great presentation. I have many questions to how implement Data Mesh in organization. How can I contact with you? Thank you!

where you got this data for mesh ?

Very well articulated. Definitely not Data mesh 101, need some prior knowledge to see self in the implementation path with this video

I have one highly complex DB2 view that uses 60+ tables in a 7 level Select. It crosses 7 data domains that we are implementing, so it has to be split to multiple views, one per data domain, right? And a service will call other services in each data domain to merge data from the domains? Benchmarks say response time increases from 0.5 seconds to 10+ minutes. Any suggestions?

Finally I know how to pronounce your name :)

AWS Datazone?

listen at 1.5x speed and still u dont miss any thing

How data Mesh is different to normal data engineering task is not super clear

Looks like fraud. A lot of nice words and nothing real.