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Building on the Data Cloud with Torsten Grabs

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Manage episode 346925591 series 1437556
Innhold levert av Data Archives - Software Engineering Daily. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Data Archives - Software Engineering Daily eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

Building and managing data-intensive applications has traditionally been costly and complex, and has placed an operational burden on developers to maintain as their organization scales. Todays’ developers, data scientists, and data engineers need a streamlined, single cloud data platform for building applications, pipelines, and machine learning models — without having to move or copy their data. Platforms like the Snowflake Data Cloud provides a unified tool for developers to easily build data applications with Python using Streamlit’s open source framework and Snowflake’s Native Application Framework, gain a streamlined architecture that natively supports users’ programming languages of choice including Java, Scala, SQL, and now Python with Snowpark, store and use transactional and analytical data together with Unistore, and more.

Torsten Grabs is the Director of Product Management at Snowflake focused on Data Lake, Data Pipelines, and Data Science. He joins the show to dive into how Snowflake is disrupting application development, and how developers today can eliminate complexity with the Data Cloud.

Sponsorship inquiries: sponsor@softwareengineeringdaily.com

The post Building on the Data Cloud with Torsten Grabs appeared first on Software Engineering Daily.

  continue reading

231 episoder

Artwork
iconDel
 
Manage episode 346925591 series 1437556
Innhold levert av Data Archives - Software Engineering Daily. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Data Archives - Software Engineering Daily eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

Building and managing data-intensive applications has traditionally been costly and complex, and has placed an operational burden on developers to maintain as their organization scales. Todays’ developers, data scientists, and data engineers need a streamlined, single cloud data platform for building applications, pipelines, and machine learning models — without having to move or copy their data. Platforms like the Snowflake Data Cloud provides a unified tool for developers to easily build data applications with Python using Streamlit’s open source framework and Snowflake’s Native Application Framework, gain a streamlined architecture that natively supports users’ programming languages of choice including Java, Scala, SQL, and now Python with Snowpark, store and use transactional and analytical data together with Unistore, and more.

Torsten Grabs is the Director of Product Management at Snowflake focused on Data Lake, Data Pipelines, and Data Science. He joins the show to dive into how Snowflake is disrupting application development, and how developers today can eliminate complexity with the Data Cloud.

Sponsorship inquiries: sponsor@softwareengineeringdaily.com

The post Building on the Data Cloud with Torsten Grabs appeared first on Software Engineering Daily.

  continue reading

231 episoder

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