The Data Warrior

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

07 Nov 2022
10 Comments

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You can sign up at https://forums.datavaultalliance.com (NB: No longer active, please see my more recent post on the new site.)

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 , , , , , ,
06 Oct 2022

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

Posted in Big Data, Data Warehouse, thought leadership 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
10 Aug 2022

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

Posted in #cloud, Data Modeling, Data Warehouse, Training and tagged , , , , | Leave a comment
14 Jul 2022

To Train or Not to Train – Is That Still a Question?

For years I have been an advocate for training, of all kinds. In my recent post for DataRebels, I dicuss the pros and cons of getting trained along with reasons peopleoften give for not investing in professional training.

Sadly, for decades now, I have seen way too many people and organizations give professional training, and certification, short shrift

.Much to their detriment in the end.

This has always baffled me because I have always found value in attending training classes, workshops, seminar, technical conferences, and the like. Even if the class was not great, the contacts I made were always invaluable.I find I learn best working directly with an experienced professional who has “been there and done that”. Or, putting it another way, I like to learn from other people’s mistakes! For me nothing replaces the ability to be interactive and ask questions of a qualified instructor.

The reasons people have given me for NOT taking a training class are basic (i.e., typical):

1. It costs too much (i.e., no budget)

2. I can’t take time away from the daily job (or I can’t afford to have my team out of the office that long)

3. “It’s really not that hard – we can figure it out ourselves reading books and blogs”

Check out how I combat these attitudes by reading the rest of the post at To Train or Not to Train.

Enjoy (and get thee trained!)

Kent

The Data Warrior

Posted in thought leadership, Training and tagged , , , | Leave a comment

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