A few weeks back, right after attending Snowflake Summit, I had the pleasure of chatting with Sanjeev Mohan on his podcast – It Depends. We spent an hour or so chatting about trends in modern data management, data mesh, data vault, my now semi-retired life as an advisor to several Snowflake partners, and my love of martial arts.
Please join me on March 30th at 11AM CDT for my first official post-retirement talk!
I will be chatting with Mike Lampa from Great Data Minds about my career and plans post-Snowflake. I expect we will cover a wide range of topics including what community and technical evangelism is all about, as well as what made me jump from nearly 30 years in the Oracle world to a small startup with less than 100 people that claimed to have re-invented data warehousing in the cloud.
Last week I had the privilege of being interviewed by Nick Heudecker (former Gartner analyst and current Senior Director at Cribl) for the Data Mesh Learning Community. In our interview, we covered the idea of empowering business domains to really own and manage their data via things like templates and a center of excellence, not to just give them the responsibility of owning their data and leaving them to figure the rest out on their own. We also discussed the need for organizations to focus on investing in growing a data culture, not just investing in the newest cloud based tooling. Really, how do we lower the barriers to accessing, sharing, and leveraging data and get people to really think about data-as-a-product.
Like Agile before it, Data Mesh is as much about changing the way an organization thinks and works as it is about technology. I argue that the people and organization aspects of adopting a data mesh approach are more important than the technology aspects. Without the right approach, the best technology (like Snowflake), is not going to solve your organization’s data problems.
See the full interview here:
So what do you think about all this data mesh stuff?
The Data Warrior
P.S. For much more on the thoughts about #datamesh, check the other podcasts and videos listed on my Snowflake Resources page.
This is great news that many of us have been waiting for! Now we can have all our data in one place.
From Day 1, Snowflake has supported structured and semi-structured data. Snowflake has provided exceptional performance for those data types and has been a pioneer in processing them. Today, Snowflake is adding support for unstructured data to allow customers to deliver more use cases with a single platform. The support for unstructured data management includes built-in capabilities to store, access, process, manage, govern, and share unstructured data in Snowflake. Now you can get all the benefits of the Snowflake Data Cloud with performance, concurrency, and scale for unstructured data.