Constructing on the Information Cloud with Torsten Grabs

Constructing and managing data-intensive purposes has historically been pricey and complicated, and has positioned an operational burden on builders to keep up as their group scales. Todays’ builders, knowledge scientists, and knowledge engineers want a streamlined, single cloud knowledge platform for constructing purposes, pipelines, and machine studying fashions — with out having to maneuver or copy their knowledge. Platforms just like the Snowflake Information Cloud supplies a unified instrument for builders to simply construct knowledge purposes with Python utilizing Streamlit’s open supply framework and Snowflake’s Native Software Framework, achieve a streamlined structure that natively helps customers’ programming languages of selection together with Java, Scala, SQL, and now Python with Snowpark, retailer and use transactional and analytical knowledge along with Unistore, and extra.

Torsten Grabs is the Director of Product Administration at Snowflake targeted on Information Lake, Information Pipelines, and Information Science. He joins the present to dive into how Snowflake is disrupting utility improvement, and the way builders at the moment can get rid of complexity with the Information Cloud.

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One other Monday morning. Dash stand-up. Your subsequent activity is … drumroll… constructing an app integration. RIP. Excited to spend the subsequent month getting your palms on developer API keys, twiddling with Oauth, testing SOAP requests, and debugging a poorly documented API? We didn’t assume so both.

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