Snowflake ProTalk:

Elon Musk famously said, “Manufacturing is 10,000% harder than prototypes.” The same is true for data. The manufacturing of raw data into actionable information is much harder than prototyping a single analytic. But just like manufacturing a car, you have to put in the R&D time to get your manufacturing process right. 

How do you enable the R&D data teams (data analytics and data science teams) in your Snowflake environment without impacting your critical manufacturing of data-into-information? In this session, Rich Hathaway and Arkady Kleyner explore how you can open your data landscape to these R&D parties while segregating these experimental environments from your critical data-to-information factory.

In this session you will learn:

  • How to create lab environments
  • What critical automation needs to be in place
  • How to segregate data sets
  • How to promote R&D findings into your production environment
Rich Hathaway


As an Enterprise Data Solutions Architect at INTRICITY, Rich has deployed Snowflake in several dozen Fortune 500 accounts and designs and delivers orchestration, modeling, security and strategy to enable elastic cloud data warehousing.

Jared Round BW


Jared acts as our Vice President of Emerging Technologies and is the host of our Snowflake ProTalk webinar series. Listed as one of the “Top Marketing Operations Leaders You Should Know” and is the author and creator of our INTRICITY101 video series.

Arkady circle


As Executive VP and Co-Founder of INTRICITY, Arkady has over 30 years of experience in engineering, architecting, developing and deploying the most intricate enterprise business solutions in America and Europe. 

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