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Archive for the category “Data Vault”

18 Nov 2022

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

Posted in Data Vault and tagged , , , , , | Leave a comment
07 Nov 2022

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

Posted in Data Vault and tagged , , , , , , | Leave a comment
21 Sep 2022

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

Posted in Data Modeling, Data Vault, thought leadership and tagged , , , , | Leave a comment
08 Jul 2022

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

Posted in Big Data, Data Modeling, Data Vault, Data Warehouse, Fitness, Self Defense, SnowflakeDB, Tae Kwon Do and tagged , , , , , , , , | Leave a comment
09 May 2022
1 Comment

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

Posted in Data Vault, Data Warehouse, thought leadership and tagged , , , , , , ,

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