Today Sanjeev Mohan talks about Data Mesh, Data Fabric, and the development of Data Products. You’ll hear about data consumers needing access to data and how data engineering often becomes a bottleneck. Sanjeev also shares his thoughts on Data Observability and the significance of the semantic layer.
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Chapters:
00:00 Intro
01:17 About Sanjeev
05:47 Data governance
08:51 The difference between data fabric and data mesh
12:01 How to implement data mesh with control and consistency
15:50 Hub and spoke pros and cons
17:56 What does socio-technical mean?
19:00 What is data observability and why is it important?
22:50 What is happening in the world of data ops?
26:48 Why has data been siloed for so long?
29:41 What should data analytics leaders be thinking about in the near future?
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About Sanjeev:
Sanjeev is an established thought leader in the areas of cloud, big data, and analytics. He researches and advises on changing trends and technologies in modern cloud data architectures. Until recently, he was a Gartner vice president known for his prolific and detailed research, and for directing the data and analytics agenda. Now a principal at SanjMo, he provides advisory and consulting services, covering modern data architectures, governance, DataOps, data products, and observability. He regularly presents on topics pertaining to end-to-end data pipelines and is excited to help businesses discover what their data can do for them.

About Us:
AtScale is the leading provider of intelligent data virtualization for big data analytical workloads, empowering citizen data scientists to accelerate and scale their business’ data analytics and science capabilities and ultimately build insight-driven enterprises.

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