The Data Warrior

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Archive for the tag “#datavault”

Panel Discussion: Data Modeling in a Data Mesh World

Happy New Year y’all!

Last month I had the pleasure of chatting with two of my data modeling pals about how to think about data modeling in a #DataMesh architecture. The recording was hosted by the Data Mesh Learning Community in partnership with Data Mesh Radio.

Juha Korpela (Chief Product Officer at Ellie Technologies) facilitated this panel with Veronika Durgin (Head of Data at Saks) and myself (The Data Warrior). Watch (or listen) to learn why Veronika and I consider Data Vault to be the best choice available right now, why only focusing on the technical aspects of data modeling instead of the business will lead you astray, how to build in iterations, change management for data modeling, and much more!

Watch the video replay here: Panel: Data Modeling in Data Mesh

If you want to just listen, check out the podcast audio, which has some nice notes from Scott Hirleman from the Data Mesh Learning Community.

Enjoy!

Kent

The Data Warrior

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

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

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

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

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