Partially Redacted: Data, AI, Security, and Privacy
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Data Security in Snowflake’s Data Cloud with Dan Myers
• 27 minSnowflake went public last year and is one of the fastest growing companies in the data cloud space. Businesses from all over the world are utilizing Snowflake for data storage, processing, and analytics. Businesses using Snowflake are storing massive amounts of data, including regulated and highly sensitive customer data. In this episode, Dan Myers, developer advocacy lead from Snowflake, joins the show to discuss how he ended up working in the data space, Snowflake's various configuration and deployment models, and what each means from a security perspective as well as some of the recent privacy features Snowflake announced during their conference this past June. Topics: How did you end up in the job you're in today? Where did your interest in the data space begin? What is Snowflake and how do people use it? What are some of the features Snowflake provides to help protect customer data? What are the different deployment models for Snowflake and how do they impact security? When might it make sense for a business to use a multi-tenant versus single tenant cloud architecture? How does Snowflake's data masking and external tokenization features work? What are some of the tools Snowflake provides to facilitate secure data sharing? What is tag-based data masking versus dynamic data masking? Resources: Snowflake Quickstarts Snowflake Summit Announcements Follow Dan on Twitter @jdanielmyers
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