The Data Warrior

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

Archive for the tag “#cloud”

Snowflake Data Cloud Summit 2020

This will be an EPIC event that you will not want to miss.

Join me and the rest of the Snowflake team at Data Cloud Summit 2020! This year we are going virtual with eight business and technology summit tracks, filled with never-before-seen demos, customer presentations, fun interviews, fireside executive chats and, of course, technical deep dive sessions.

This is a totally FREE event that will deliver:

  • 8 tracks
  • 40+ Sessions
  • 25+ partners

All focused on using the Snowflake Data Cloud to #MobilizeYourData!

Mark this date on your calendar – November 17, 8:30 AM – 2:30 PM PT.

And if you miss any part of the event, sessions will be available for replay immediately after.

Register now:  Snowflake Data Cloud Summit 2020

And if you CAN’T Make the North American event, we have additional dedicated events for all my global friends too:

The EMEA event will be on November 18th. Register here: Data Cloud Summit – EMEA

For my friends down under in APAC, the event will be November 19: Data Cloud Summit – APAC

And for all the folks in JAPAN, we have an event just for you on November 25th: Data Cloud Summit – Japan

So no reason to miss this great event.

Check out the agenda today and plan you viewing!

See you online.

Kent G

The Data Warrior and Chief Technical Evangelist, Snowflake

Tips for Optimizing the #DataVault Architecture on Snowflake (Part 3) 

For this last post in my current Data Vault (DV) series, I will discuss two more cool features of Snowflake Cloud Data Platform (@Snowflakedb) that you can take advantage of when building a DV on our platform. If you are not familiar with the DV method, please read my introductory blog post and part 1 of this series before reading this post.

Get the details here: Tips for Optimizing the Data Vault Architecture on Snowflake (Part 3)

Happy Data Vaulting!

Kent

The Data Warrior

Combine COVID and POS Data to Ensure In-Stocks with #Snowflake and #Alteryx

Reposting this blog as it is an example of how data related to #COVID19 is being used outside of the obvious #healthcare use cases. In this case, something near and dear to us all – grocery store inventories!

We all know this is a truly unprecedented time in the world, and although sometimes we feel like we’ve been through something similar before, the reality is that we haven’t. Sure – we’ve been through natural disasters. We’ve watched smaller outbreaks from afar. We’ve all made a stock-up trip to the grocery store “just in case” our power went out, or “just in case” we were stuck in our house during a cold-stretch for a couple days, but none of those compare to what we’re seeing in our world right now. COVID-19 has drastically changed the way that the world works – both for now and for the future – and although we’ve never experienced anything like this before, we’ve also never been equipped to respond like we are today.

Get the full story here: Combine COVID & POS Data to Ensure In-Stocks with Snowflake & Alteryx

Stay safe out there!

Kent

The Data Warrior and Chief Technical Evangelist at Snowflake

5 Business Needs That Fuel Enterprise Data Warehouse Development

The global market for data warehousing is expected to grow to $34.7 billion by 2025, according to a recent report from Allied Market Research. That’s nearly double the $18.6 billion it was worth in 2017.

What fuels investment in enterprise data warehouse development? Cloud data warehouse technology has given rise to innovative systems and practices that increase efficiency and reduce costs across company functions. Today, departments like marketing, finance, and supply chain operations benefit from a modern data warehouse as much as the organization’s engineering and data science teams.

In this blog post, I list five business priorities that fuel increased investment in modern enterprise data warehouse development. See them here on the Snowflake blog site:

5 Business Needs That Fuel Enterprise Data Warehouse Development

And don’t forget to download my newest ebook (free) listed at the end of the post!

Kent

The Data Warrior

The Elephant in the Data Lake and Snowflake

So is Hadoop finally dead? For many use cases, I think it really is. The cloud and the continued evolution of technology has created newer, better ways of working with data at scale. Check out what Jeff has to say about it!

Jeffrey Jacobs, Consulting Data Architect, Snowflake SnowPro Core Certified

Let’s talk about the elephant in the data lake, Hadoop, and the constant evolution of technology.

Hadoop, (symbolized by an elephant), was created to handle massive amounts of raw data that were beyond the capabilities of existing database technologies. At its core, Hadoop is simply a distributed file system. There are no restrictions on the types of data files that can be stored, but the primary file contents are structured and semi-structured text. “Data lake” and Hadoop have been largely synonymous, but, as we’ll discuss, it’s time to break that connection with Snowflake’s cloud data warehouse technology.

Hadoop’s infrastructure requires a great deal of system administration, even in cloud managed systems.   Administration tasks include: replication, adding nodes, creating directories and partitions, performance, workload management, data (re-)distribution, etc.  Core security tools are minimal, often requiring add-ons. Disaster recovery is another major headache.  Although Hadoop is considered a “shared nothing” architecture, all…

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