The Data Warrior

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Archive for the tag “Data Warehouse”

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

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

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

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

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

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