The Data Warrior

Changing the world, one data model at a time. How can I help you?

Archive for the category “Data Warehouse”

The Data Warrior Way – DataOps: Past, Present, and Future

Heads up gang – I will be doing a webinar on #TrueDataOps on Wednesday, Nov 30th!

4 pm UTC – 10 am CDT, 11 am ET, 4 pm London, 5 pm CET

During this 60-minute live webinar, I will delve deeper into this topic to share my thoughts on DataOps. What is it? How is it different from DevOps? Where is it headed?

Join me to learn about the seven key pillars of #TrueDataOps:

  • ELT and the spirit of ELT
  • Continuous Integration / Continuous Deployment (CI/CD)
  • Code design and maintainability
  • Environment management
  • Governance and change control
  • Automated testing and monitoring
  • Collaboration and self-service

Come learn what DataOps REALLY IS, and how it’s guiding philosophy can help you deliver data projects faster and better.​

Sign up today to reserve you space! (Yes – it will be recorded!)

The Data Warrior Way – DataOps: Past, Present, and Future | WhereScape

See you there!

Kent

The Data Warrior

The Hype:  Data Mesh Will Become Obsolete – Really?

Data Mesh is indeed a hot topic these days. Is it the answer to all our big data problems? Probably not, but it will help some organizations. Is it obsolete? See what I think in this recent blog post…

In the summer of 2022, Gartner® published its Hype Cycle on Data Management, and this was not without some controversy.

In particular, it asserted that Data Mesh will be obsolete before it reaches what Gartner calls the Plateau of Productivity. It is hard to fathom how they came to that conclusion when there is such a vibrant Data Mesh Community complete with a very active Slack channel, and when DataOps.live customers like Roche and OneWeb have successfully built a Data Mesh using DataOps.live and Snowflake. But we’ll come back to that in a moment.

Data Mesh is in essence a conceptual approach and architectural framework, not a specific off-the-shelf tool or technology. One of the main precepts for its creation is angled towards improving productivity and time to value by eliminating the perceived bottlenecks that have been experienced by organizations building out large-scale enterprise data warehouses and data lakes.  Zhamak Deghani, the creator of the Data Mesh concept, has referred to it as a decentralized sociotechnical approach – meaning it involves people, processes and technology. So, it seems likely that no two implementations will be the same by their nature. How one organization defines productivity based on its specific needs and outputs on its own application of Data Mesh will differ from another. Yes, Data Mesh is (kind of) new and yes, it is maturing, but that does not mean we should ignore or discount it this early in the game.

It is hard these days to separate the hype from the reality so check out the entire post over at the DataOps.live blog.

Cheers.

Kent

The Data Warrior

SqlDBM – Advisor and Speaker

Just a quick note – I just found out SqlDBM has featured me on their new advisors page. Check it out.

Also wanted to remind everyone that I will be giving a webinar next week, August 17th on Data Modeling for Snowflake, Sign up here for that. It will be fun for sure.

Ciao for now!

Kent

The Data Warrior

It Depends (or Does It?) – Episode 13

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.

So sit back, relax (I did), and enjoy!

Aloha.

Kent

The Data Warrior

Data Vault and Data Mesh – A Match Made in the Cloud?

Check out my latest thoughts about Data Vault and Data Mesh:

Over the last six years (after I joined Snowflake basically), I have witnessed a massive increase in the interest and implementation of Data Vault 2.0. I have talked to literally hundreds of companies across the globe and across all industries about changing their approach to building an enterprise data platform. It was sort of mind boggling how many folks wanted to speak to me about this. So why, after almost two decades of successful data vault implementations, have so many people “suddenly” got interested in Data Vault?

Well, a few reasons:

1. They are moving to the cloud (in this case, Snowflake) and figured it was time to look at their approach to data warehousing and data lakes.

2. What they had been doing for decades, on critical review, really was not working (i.e., lots of expensive re-engineering all the time) and definitely could not scale.

3. Things are changing so rapidly, they needed to find a way to be more agile.

Read the rest of the post here on the Data Rebels site to find out how Data Vault relates to Data Mesh – Data Vault and Data Mesh

What do you think?

Have a great week!

Kent

The Data Warrior

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