The Data Warrior

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

Archive for the tag “#SnowflakeDB”

Snowflake Resources from The Data Warrior

Since you are on this blog, I assume that means you are “following” me in that techie, non-stalker sort of way. 😉

That being the case you are aware of my tenure for the last 5+ years at the hottest data-focused software company in the world – Snowflake. And you know I have produced a lot of content (really – A LOT!). Everything from blogs to ebooks to videos to podcasts – in addition to my usual array of industry and Snowflake sponsored webinars and talks.

But if, like me, you have consumed so much content in the last year or so, you have probably lost track of some of it, right?

Well if you are trying to find something you saw me do (or tweet about doing) but just can’t remember what it was (or when or where) and you want to find it but don’t want to sift through the hundreds of Google search results or the thousands of social media posts I have done, look no further!

I decided to make it easier for you (and me frankly) by putting a pretty comprehensive list together on a permanent page here on my site.

I broke it up into videos/Podcasts, Thought Leader articles, ebooks, and blogs and have included links to all of these so you can quickly get to the content you need when you need it.

So check it out and bookmark the page now, before you forget or lose track of this post too. 🙂

You’re welcome.

Kent

The Data Warrior

Building a Real-time Data Vault in Snowflake?

Yes you can! The #DataCloud loves #DataVault!

In this day and age, with the ever-increasing availability and volume of data from many types of sources such as IoT, mobile devices, and weblogs, there is a growing need, and yes, demand, to go from batch load processes to streaming or “real-time” (RT) loading of data. Businesses are changing at an alarming rate and are becoming more competitive all the time. Those that can harness the value of their data faster to drive better business outcomes will be the ones to prevail.

One of the benefits of using the Data Vault 2.0 architecture is that it was designed from inception not only to accept data loaded using traditional batch mode (which was the prevailing mode in the early 2000s when Dan introduced Data Vault) but also to easily accept data loading in real or near-realtime (NRT). In the early 2000s, that was a nice-to-have aspect of the approach and meant the methodology was effectively future-proofed from that perspective. Still, few database systems had the capacity to support that kind of requirement. Today, RT or at least NRT loading is almost becoming a mandatory requirement for modern data platforms. Granted, not all loads or use cases need to be NRT, but most forward-thinking organizations need to onboard data for analytics in an NRT manner.

See all the details (and some code) in the full post over on Data Vault Alliance.

Happy Vaulting!

Kent

The Data Warrior

Snowflake and #NetZero: The Case for Data Decarbonisation (Part One)

I love the fact that Snowflake is getting involved in the betterment of our planet!

This is the first in a series of three posts from one of my colleagues examining the concept of net zero data and how advances in technology can help the world’s largest world’s largest organisations—especially those which are particularly emissions-intensive like oil and gas—reduce the carbon emissions footprint of their data. 

Read the whole post here –  Snowflake and Net Zero: The Case for Data Decarbonisation (Part One)

Enjoy!

Kent

The Data Warrior & Chief Technical Evangelist at Snowflake

#LetItSnow

 

 

How to manage GDPR compliance with Snowflake’s Time Travel and Disaster Recovery 

One year after implementation, the European Union’s General Data Protection Regulation (GDPR) continues to be a hot regulatory topic. As organizations work to bring their data practices into compliance with the new law, one question comes up repeatedly: How does Snowflake, the data warehouse built for the cloud, enable my organization to be GDPR compliant?

Check out my latest post to see my answer:

How to manage GDPR compliance with Snowflake’s Time Travel and Disaster Recovery | Snowflake Blog

Cheers!

Kent

The Data Warrior

Automatic Clustering, Materialized Views and Automatic Maintenance in Snowflake 

Boy are things going bananas at Snowflake these days. The really big news a few weeks back was another round of funding! This time we got another $450 million.

A-MAZ-ING!

We are gaining marketshare everyday with name brands signing up in droves. I am constantly taken aback by the names I see on our win-wire. In my role as evangelist, I am getting to speak with folks at places like Sony, NBC Universal, and CapitalOne to name a few. Not only here in the US but over in EMEA as well (as my frequent flyer status will attest). And early next year I will be heading out to Australia and New Zealand too (stay tuned for details).

As exciting as all that is (#ILoveMyJob), even more exciting is how our engineering team is putting all that funding $$ to use to continue to improve what is already the leading cloud-built data warehouse. This week we announced two new major features.

From today, two new automation and performance capabilities are available in Snowflake. They are the latest advancements to Snowflake’s ability to deliver the best performance and scalability without requiring administration or maintenance from our customers. They also lay the foundation for a series of new features to come in the months ahead.

Read all the details here: Automatic Clustering, Materialized Views & Automatic Maintenance in Snowflake

After reading up on these features, head on over to our site and sign up fro your FREE trial account to see for yourself how awesome, and easy, moving to the cloud can be.

Make it snow!

Kent

Chief Technical Evangelist, Snowflake

The Data Warrior

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