The Data Warrior

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Data Vault and Data Governance, Pt. 2

Hey #DataVault fans! Here is another post that just came out about DV and governance – how are they related?

In part two of this blog series, we sit down with Kent Graziano and Cindi Meyersohn to dig a bit deeper on data governance and its relationship to data quality.

Cindi: Kent, we’ve already talked about data governance as it relates to security, now what about data quality?

Kent: It’s important to talk about the key aspects and benefits of data governance found in improved data quality, because if people can’t trust the data, then they’re not going to use the data.  No matter how sophisticated you get in loading your data, moving your data, transforming your data, displaying your data, if people don’t trust the quality of that data, then they’re not going to use it. 

The Data Vault architecture and methodology, above and beyond modeling, includes data quality in the approach, specifically related to TQM, which is vectorized total quality management, along with several other frameworks.  Particularly in Data Vault, you embrace the idea of having a continuous feedback loop on the data to the sources as part of the approach.  The inclusion of a continuous feedback loop should be a part of any planning and design of a Data Vault.

Check out the rest of the conversation here: Data Vault and Data Governance, Pt. 2

Enjoy!

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

All new Data Vault Alliance Forums are open!

Great news for all fans and followers of #DataVault – Ask DVA forums are up and running!

You can sign up at https://forums.datavaultalliance.com

These all new forums are the sanctioned voice of DVA (Data Vault Alliance). That means you can expect the answers will be reviewed and in compliance with data vault standards and best practices as taught by Dan Linstedt and all the authorized DV 2.0 CDVP trainers. Hopefully this will help reduce confusion in the market and assist organizations in successfully applying the approach.

Other (important) details:

  • 100% free – to anyone and everyone
  • Anyone that has an account can: reply, or post a new topic.
  • 100% readable by guests – without ever creating an account
  • 100% moderated (by DVA for starters, by a few others that have already agreed to moderate)
  • Members can POST POLLS!!!

And better still, the forums are OPEN to both Business and Technical questions!!

You can expect answers to your toughest data vault questions through examples, best practices, and standards.

So why wait? Hop on now and take a minute to view the forums, sign up / register, and possibly ask or reply to questions.

Enjoy!

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

How Data Vault 2.0 Supports Your Data Governance Strategy – Part 1

Data Vault 2.0 is way more than just a data modeling approach. In fact it is an entire methodology and architecture for building business intelligence and analytic solutions. This is a post just released that I wrote for Data Rebels on how DV2 actually supports various aspects of data governance. Check it out.

With the growth of volume and diversity of data in recent years, it has become even more critical for organizations to develop an effective and scalable strategy for data governance and its closely aligned sibling discipline – Master Data Management. The importance of ensuring the security and the quality of data has never been more important than now. Add to that the increased pressures for regulatory compliance and privacy concerns, having a solid approach to data governance is no longer an option, it’s a necessity. In this 2-part blog series, I will discuss how the Data Vault 2.0 System of Business Intelligence addresses these concerns and incorporates both Data Governance and Master Data Management. 

Read the entire post here: Data Vault 2.0 and Data Governance – Part 1.

Stay tuned for Part 2!

Kent

The Data Warrior

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