Data Mesh tutorial for beginners - What is Data Mesh ?

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Күн бұрын

Пікірлер: 37

@rishipandey541 12 күн бұрын

I can relate to the challenges of obtaining data for my workloads when trying to incorporate new changes into the current process. I often have to request data from a centralised authority, which requires numerous level of approvals. The data mesh concept can effectively address this issue by enabling a more decentralised approach. Implementing incremental changes in the kind of data we obtain can incredibly helpful for enhancing the process. Thank you for the wonderful explanation!

@smithabs 4 ай бұрын

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.

@TIM123451ERR 4 ай бұрын

once again. This guy is one of the best teacher in the field.

@akankshaism 8 ай бұрын

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!

@ITkFunde 7 ай бұрын

Glad it was helpful!

@kapilbhagchandani3627 19 күн бұрын

Simply amazing. Complex concepts becomes very easy. Many thanks for this video.

@jazzper_nl 3 ай бұрын

Very well explained! Thanks a lot! Enjoy your day!

@raviacnin 2 ай бұрын

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.

@LoknathShaw-c2i 8 күн бұрын

Appreciate your effort in explaining DM

@bigdataprofessional1880 16 күн бұрын

excellent explanation, Thank you.

@skajekar 8 ай бұрын

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.

@hi_vishy 5 ай бұрын

You content compelled me to subscribe. Excellent crisp videos.

@ITkFunde 5 ай бұрын

Thanks a lot

@MrLuizgps 5 ай бұрын

Very nice video. You have explained many doubts that I had about the theme

@dharmharley6871 8 ай бұрын

Glad to see you got a sponsor

@souvikmukherjee9174 6 ай бұрын

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.... :)

@ITkFunde 6 ай бұрын

Thanks Souvik for this great suggestion ❤️

@yasyas4151 Ай бұрын

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

@jobitsunny 7 ай бұрын

Really nice video🎉🎉🎉... please come up with a detailed video on self served data platform and sample implementation

@drS1lv3r 6 ай бұрын

Great video and very well explained!

@AessamL 9 ай бұрын

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.