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Constructing on the Knowledge Cloud with Torsten Grabs
Constructing and managing data-intensive functions has historically been pricey and complicated, and has positioned an operational burden on builders to take care of as their group scales. Todays’ builders, information scientists, and information engineers want a streamlined, single cloud information platform for constructing functions, pipelines, and machine studying fashions — with out having to maneuver or copy their information. Platforms just like the Snowflake Knowledge Cloud supplies a unified device for builders to simply construct information functions with Python utilizing Streamlit’s open supply framework and Snowflake’s Native Utility 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 Knowledge Lake, Knowledge Pipelines, and Knowledge Science. He joins the present to dive into how Snowflake is disrupting software growth, and the way builders at present can get rid of complexity with the Knowledge Cloud.
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Transcript
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