Constructing and managing data-intensive purposes has historically been expensive 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 Knowledge Cloud supplies a unified software 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 centered on Knowledge Lake, Knowledge Pipelines, and Knowledge Science. He joins the present to dive into how Snowflake is disrupting software improvement, and the way builders in the present day can remove complexity with the Knowledge Cloud.
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Transcript
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