The Data Warrior

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Archive for the tag “DataOps”

#TrueDataOps Podcast: Ultimate Guide

In case you have been under a rock these last few months (or just busy with holiday plans), I started doing a weekly, livestream podcast call #TrueDataOps. Details below for a recap of 2022 and a look at what’s ahead on the show for 2023.

The Seven Pillars of #TrueDataOps

Hosted by Kent Graziano, aka The Data Warrior, the #TrueDataOps Podcast launched in November 2022, bringing together leading lights in the industry to discuss all matters DataOps, and in particular its journey towards maturity.  

Kent has met thought leaders, innovators, and pioneering user organizations at the forefront of the #TrueDataOps revolution – with the story continuing into 2023 and beyond. 

We are working on a great lineup of guests for 2023 to help us understand not only the technical aspects of implementing a #TrueDataOps approach, but also the organizational aspects. So, we will address not only the “what” but the who, when, and most importantly “why” organizations need this. 

Check out the rest of the post for all the details and how to get notifications of upcoming episodes: #TrueDataOps Podcast: Ultimate Guide

I hope you will kick off the new year by joining us. Happy viewing!

Kent

The Data Warrior

The Role of DataOps in a Data Mesh Architecture

Hot off the press – a new post discussing two of today’s hottest topics – #DataMesh and #DataOps.

Data Mesh is a decentralized architecture that organizes data by specific business domains and teams, leveraging a self-service approach. It’s designed to provide greater ownership and responsibility to Data Product teams and, it is hoped, more effective outputs in a timely manner. 

Data mesh is founded on four pillars: 

  • Empowered domain ownership – letting the experts who know the data best do their jobs. 
  • Cross organizational transport – enabling consumption through data products. 
  • Self-service analytical platform – reducing costs, improving agility. 
  • Federated governance – the ‘glue’ that holds the process together, enabling interoperability and compliance. 

Is DataOps simply an enabler for more sophisticated design patterns like Data Mesh?  If we carry on with DevOps thinking – considering how the involvement of end users in a product lifecycle went from passive to truly active, one starts to see that it’s more than that. 

Read the rest of the post here – The Role of DataOps in a Data Mesh Architecture

Happy reading.

Kent

The Data Warrior

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

Hot Off the Press – I Have Joined DataOps.live Advisory Board

LONDON, Feb. 16, 2022 /PRNewswire/ — DataOps.live, the London-based software company dedicated to helping organisations to build and manage their essential data applications and data products more effectively, is delighted to announce that Kent Graziano has joined its Advisory Board with immediate effect.

‘Data Warrior’ Kent Graziano Joins DataOps Advisory Board

Could not resist staying out of the fray! I have worked with these folks from their earliest days as a Snowflake SI partner, and now as a software partner that supports the Snowflake Data Cloud. I am looking forward to helping Justin and Guy in the next stage of evolving the DataOps.live platform towards the vision of #TrueDataOps.

Cheers to our continued collaboration!

Kent

The Data Warrior

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