The Data Warrior

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

Archive for the category “Data Warehouse”

Data Engineering Podcast – What is Snowflake?

A few months back I had the privilege of being interviewed by Tobias Macey on his Data Engineering Podcast show. This came about because Tobias actually Tweeted at me about wanting to do the interview! In this episode we spent an hour discussing the ins and outs of the Snowflake Cloud Data Platform. You can find it here. Hope you enjoy it!

Interview Outline

  • How did you get involved in the area of data management?
  • Can you start by explaining what Snowflake is for anyone who isn’t familiar with it?
    • How does it compare to the other available platforms for data warehousing?
    • How does it differ from traditional data warehouses?
      • How does the performance and flexibility affect the data modeling requirements?
  • Snowflake is one of the data stores that is enabling the shift from an ETL to an ELT workflow. What are the features that allow for that approach and what are some of the challenges that it introduces?
  • Can you describe how the platform is architected and some of the ways that it has evolved as it has grown in popularity?
    • What are some of the current limitations that you are struggling with?
  • For someone getting started with Snowflake what is involved with loading data into the platform?
    • What is their workflow for allocating and scaling compute capacity and running analyses?
  • One of the interesting features enabled by your architecture is data sharing. What are some of the most interesting or unexpected uses of that capability that you have seen?
  • What are some other features or use cases for Snowflake that are not as well known or publicized which you think users should know about?
  • When is Snowflake the wrong choice?
  • What are some of the plans for the future of Snowflake?

This is a great podcast series, so you might want to add it to your regular list!

Cheers.

Kent

The Data Warrior & Chief Technical Evangelist at Snowflake

New Snowflake Community Advocate Program

I am happy to announce that The Snowflake Community—a hub for Snowflake users to connect, share, and learn from each other both offline and online—is launching a new program called the Select Star Program.

What is a Select Star?

The Select Star program recognizes and rewards our most engaged community members who go above and beyond to help other users around the globe. The program offers many opportunities, including speaking at meetups or during webinars, publishing technical tutorials and blog posts, answering questions on Stack Overflow, and sharing your own Snowflake story with the community. The more you engage and offer support, the more award points you’ll earn. Once you’ve collected 1,000 points, we’ll officially accept you into the Select Star program.

Get the rest of the details and how to sign up here: 4 Ways to Become a Snowflake Select Star

Cio for now.

Kent

The Data Warrior

Better Data Modeling: Agile Data Engineering

You asked for it, you got it!

Ever since I wrote my Kindle book on Agile Data Engineering and Data Vault 2.0, many, many people have asked me to provide it in a hardcopy format. Well, I finally managed to find time to convert that ebook into a paperback book (I even corrected a few errors in the process).

If you forgot what the book was about, here is the description:

This book will give you a short introduction to Agile Data Engineering for Data Warehousing and Data Vault 2.0. I will explain why you should be trying to become Agile, some of the history and rationale for Data Vault 2.0, and then show you the basics for how to build a data warehouse model using the Data Vault 2.0 standards.In addition, I will cover some details about the Business Data Vault (what it is) and then how to build a virtual Information Mart off your Data Vault and Business Vault using the Data Vault 2.0 architecture.So if you want to start learning about Agile Data Engineering with Data Vault 2.0, this book is for you.

So here it is – Introduction to Agile Data Engineering – now available to purchase on Amazon.

Get your copy now. Next time you see me at an event, I will be happy to sign it for you. 🙂

Enjoy!

Kent

The Data Warrior

Adapting Agile Principles for Data Warehousing

Despite the clear benefits of data warehousing programs, business units often question what they perceive to be long delivery timelines and a lack of data accessibility. Nearly half (48%) of the respondents in a TDWI survey reported that personnel in their organizations spend at least 61% of their time finding and preparing data. Only 28% said that their business users and analysts can access and analyze new data, including external data, without close IT support.

Check out how to solve these type of issues, and more, by applying the principles of Agile to data warehousing in my newest post and ebook:

Adapting the Agile Manifesto Principles to Data Warehousing

Cheers.

Kent, The Data Warrior &

Chief Technical Evangelist, 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

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