Adapting to the Data Cloud Era with Andrew Reichman, Snowflake’s Director of Market Intelligence

Hashmap on Tap Ep. 93

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“I feel like with the cloud era, process is eating software. There’s enough software . . . a big part of innovation today is wrapping it all together and making it work and making it reliable and extensible.”

— Andrew Reichman, Director of Market Intelligence at Snowflake

Change is never easy, but it’s necessary to keep up in today’s world where an ever-growing amount of data, demand for data usage, and data governance are key components in meeting business objectives. While certain segments of the technology industry may still be young, the industry itself is no stranger to change, since developments and changes in tech over the last 30 years are now pushing towards a future in the data cloud era.

Andrew Reichman, who is currently the Director of Market Intelligence at Snowflake, joined Kelly Kohlleffel for craft beers on Hashmap on Tap to chat about past and present trends in technology and the future of data science and cloud computing. Andrew offers a unique perspective on the shifts in technology from previous experiences at Forrester, Oracle, and AWS, and he shares insights on how the Snowflake Data Cloud continuously sets new standards for SaaS cloud services.

On tap for this episode are locally brewed craft beers: Real Ale Brewing’s Oktoberfest for Kelly, and Flying Lion’s Strata Fresh Hop Pale Ale for Andrew.

Listen for Andrew’s thoughts on:

  • How past technology is shaping the future of cloud data platforms
  • Approaches to using a data warehouse vs. data lake vs. data cloud
  • Using the Snowflake Data Cloud and other Snowflake utilities, like Snowpark, to break down data silos
  • Data and its role in the pandemic to develop a COVID-19 vaccine
  • Snowflake’s success in building a platform with data governance capabilities as a part of its core foundation
  • His favorite running spots in Seattle, go-to (kid-approved!) recipe to cook, and motorcycles

Listen to the episode here:

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