ttgift.blogg.se - Snowflake multi tool uses

Workloads: Snowpark Container Services, a huge expansion of Snowpark where containerization will help “scoop up” any function that already exists and run it in Snowflake.

Applications: Snowflake native apps in their Marketplace.

He then quickly outlined the three big announcements we would be seeing and how they tied back to the conference theme of “No Limits On Data” (which come to think of it might have been my cellphone carrier’s tagline for a while too). If you’re looking to save some money, save 2-4x on data engineering because our interpretation of Spark in Snowpark, it will run it cheaper, simpler, and more secure. Of course, he couldn’t resist adding a jab at a competitor as well saying, “A lot of efforts in Snowpark have been focused on retiring legacy Spark jobs.

These days we view data warehousing as a particular kind of workload.” He then went on to list Snowflake’s data lake, transactional (Unistore), hybrid, and collaborative (Data Sharing) capabilities. The Snowflake CEO wasted no time outlining Snowflake’s evolution and expanded ambition, “Most in this room are doing data warehousing. Real choices have to be made – you can perpetuate what you’ve been doing in the past…or fundamentally shift,” he said. “We always say in order to have an AI strategy you have to have a data strategy….If you don’t have your data strategy wired in, you can’t just keep going with the past. He then launched into his latest stump speech positioning Snowflake’s role in the era of Gen AI.

Snowflake CEO Frank Slootman kicked off the keynote and immediately disarmed the audience of AI skepticism/weariness like a pro: “There is a drinking game, every time I say AI you have to do a shot.”

The finale: Native Applications and Snowpark Container Servicesįrank Slootman: an AI strategy requires a data strategy.Frank Slootman: an AI strategy requires a data strategy.