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