End-to-End Data Integration for Snowflake with Snowpark

DataOps for Modern Data Integration

Powerful Data Engineering for Your Data Cloud, Simplified

With the new developer experience Snowpark (currently in preview), Snowflake lets data engineers code in languages like Java to build complex data pipelines and execute them within Snowflake directly.

The StreamSets Engine for Snowpark provides an intuitive design interface to build and orchestrate multiple ETL pipelines. Many Snowflake customers already use StreamSets to ingest data in streaming, batch or change data capture (CDC) mode into the Snowflake Data Cloud. With the Engine for Snowpark, StreamSets brings end-to-end ingestion and ETL capabilities to every Snowflake user.

Watch this webinar to:

  • Learn how Snowpark expands the power of Snowflake Data Cloud
  • See how the StreamSets Engine for Snowpark provides powerful, flexible ETL in an intuitive visual interface
  • Get a live look (demo) at performing ETL, sentiment analysis, and semi-structured data processing with StreamSets and Snowpark

Speakers

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StreamSets
Sean Anderson
Head of Product Marketing

                  
StreamSets
Anthony Gatti
Senior Product Manager

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View this program on-demand

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Attend our workshop hosted by our customer, Thematic Groupe [WYND]


WYND’s DataOps Journey with StreamSets

Speaker: CDO from Thematic Groupe [WYND] 

When: March 9th at 10h30

Where: TBD

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Attend StreamSets’ CEO’s keynote at the main stage


DataOps: A Paradigm Shift for Modern Data Integration

Speaker: Girish Pancha, CEO and Co-Founder, StreamSets 

When: TBD 

Where: Business Track Stage

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Schedule your demo at Big Data Paris today


[Meet with an Expert]

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