I loved sql and all things data when I was learning computer science in my degree. Always was a back end engineer with heavy sql. Now I am a data engineer after so many years. Never felt so much appreciated till now. Your videos made me happy. I am in the process of learning ML too.
i have seen so many videos on this topic but this one is so clear, compact and also tells clearly the journey of data analytics over the years which is important for people like me moving from the old dw world to the new lakehouse architecture. thanks a lot for your efforts!
While the data mesh as concept has gained some traction since its inception in 2019, its widespread implementation remains limited - and for a good reasons - In many large organizations, domain-specific business analysts or data analysts can collaborate effectively with a central data team. Additionally, IT staff / data team often possess a strong understanding of the domains they support. A focus on overly complex architectures built on trendy buzzwords could potentially hinder progress. Furthermore, Domain-Driven Design (DDD) has its own problems within the software development world.
Datamesh is added complexity..Data analysts and scientists can just collaborate with the data warehouse data engineers to get data without bottlenecks through reliable pipelines..There is so much complexity here and also expanding the data team which involves cost…A good data analyst with knowledge across domains will save a lot of money and does quick collaboration with the oltp source system administrators as well to present data to management
Thank you for your detailed explanation. You really know this concept and explained it well. You are right, Data mesh is like micro-service for the data domain.
Appreciate for creating this video im implementing datamesh architecture for a large bank belive me there are many gaps in implementing data mesh b/w what we understood as theory.
Hey Anshul....This is great and really helped brush up the concepts once more in a simplistic yet holistic way....Can you please make a similar video on Data Fabric and its use cases, benefits etc...Will really appreciate and will wait eagerly to see it soon....Till then, as you keep saying, keep hustling.... :)
once again. This guy is one of the best teacher in the field.
I loved sql and all things data when I was learning computer science in my degree. Always was a back end engineer with heavy sql. Now I am a data engineer after so many years. Never felt so much appreciated till now. Your videos made me happy. I am in the process of learning ML too.
i have seen so many videos on this topic but this one is so clear, compact and also tells clearly the journey of data analytics over the years which is important for people like me moving from the old dw world to the new lakehouse architecture. thanks a lot for your efforts!
Glad it was helpful!
Very well explained! Thanks a lot! Enjoy your day!
While the data mesh as concept has gained some traction since its inception in 2019, its widespread implementation remains limited - and for a good reasons -
In many large organizations, domain-specific business analysts or data analysts can collaborate effectively with a central data team. Additionally, IT staff / data team often possess a strong understanding of the domains they support.
A focus on overly complex architectures built on trendy buzzwords could potentially hinder progress. Furthermore, Domain-Driven Design (DDD) has its own problems within the software development world.
Datamesh is added complexity..Data analysts and scientists can just collaborate with the data warehouse data engineers to get data without bottlenecks through reliable pipelines..There is so much complexity here and also expanding the data team which involves cost…A good data analyst with knowledge across domains will save a lot of money and does quick collaboration with the oltp source system administrators as well to present data to management
Thank you for your detailed explanation. You really know this concept and explained it well.
You are right, Data mesh is like micro-service for the data domain.
Appreciate for creating this video im implementing datamesh architecture for a large bank belive me there are many gaps in implementing data mesh b/w what we understood as theory.
You content compelled me to subscribe. Excellent crisp videos.
Thanks a lot
Very nice video.
You have explained many doubts that I had about the theme
Great video and very well explained!
Really nice video🎉🎉🎉... please come up with a detailed video on self served data platform and sample implementation
Great video!!
Glad to see you got a sponsor
Hey Anshul....This is great and really helped brush up the concepts once more in a simplistic yet holistic way....Can you please make a similar video on Data Fabric and its use cases, benefits etc...Will really appreciate and will wait eagerly to see it soon....Till then, as you keep saying, keep hustling.... :)
Thanks Souvik for this great suggestion ❤️
Great video mate, thank you.
Thanks for your sharing!
I was looking for Data Mesh definitions/explaination by TK Funde on 3days ago😂
Coincidentally, you made it today😂 thank you.
Telepathy ❤️❤️
How will data product use Machine Learning
What is the difference between Data fabric and data mesh ?
Can you please help me with decentralized structure for software development, such as container creation, automation ?
Nice one, but this kinda architecture seems more prone to data redundancy....
Great video
please create video on Data Fabric
Thanks for the suggestion I have noted it down
This was the bottom up approch now its coinwd as data mesh😅
👌👌👌
strange, it seems like we are going backwards. Now the whole thing has become more complex.
It is not a new concept to research organisation. It is not for IT ecosysem