Host and Snowflake Data Superhero Frank Bell leads a no-holds-barred series of 30-minute discussions that dig into how, when, and why you should use DataOps.live.  

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Episode 1 – The DataOps.live Assembly LIne 

Guests Justin Mullen and Guy Adams, Co-founders of DataOps.live, share how DataOps can act as a factory assembly line to streamline the complex work of building data products.  

Episode 2 – Best Practices: CI/CD for Snowflake

Guests Guy Adams, Co-founder and CTO of DataOps.live and Kent Graziano, the Data Warrior, talk with Frank about how companies can do true CI/CD on Snowflake.  

Episode 3 – How to Manage Test Environments in Snowflake

Guests Guy Adams, Co-founder and CTO and Thomas Steinborn, SVP of Products at DataOps.live, talk with Frank about how companies are managing test environments in Snowflake - and how they should be.

Episode 4 – Building Native Apps on Snowflake

After two years of building Snowflake Native Apps, host Frank Bell and his team have found the true best practices to build them FAST. Special guest Luke Crumley, principal CloudOps and DataOps Engineer from DataOps.live joins the show.

Episode 5 – How Industry-focused Templates Accelerate Time-to-Value

Frank talks to DataOps.live Chief Partner Officer & EVP Strategic Business John Marchese and Chief Revenue Officer Steve Huber about how industry-focused templates accelerate time-to-value for data products using DataOps.live.

Episode 6 – Pre-production Seeding, Refreshing, and Scaling Snowflake Architectures

Special guest Jeremiah Hansen, Principal Architect, Data Engineering from Snowflake joins host Frank Bell and DataOps.live CTO Guy Adams for a lively discussion around best practices and techniques for seeding, refreshing, and scaling Snowflake architectures.

Episode 7 – Build AI/Data Powered Data Products Fast

Special guest Sanjeev Mohan, Principal at SanjMo and former Gartner Research VP of Data & Analytics, joins Frank to discuss:

• The contrast between the traditional ways companies build data applications and products and using DataOps.live
• The massive competitive advantage of taking an organized and focused approach to data product-building 
• How AI impacts data product development