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Building Pipelines for Open Lakehouse

On-Demand

The data engineering landscape is highly complex, characterized by a blend of legacy and cutting-edge technologies, evolving business requirements, and talent acquisition challenges. Data engineering teams face the constant struggle of keeping pace with rapid innovations and business demands with new initiatives such as AI, while effectively managing diverse solutions, privacy and governance protocols. Striking a balance between adaptability and business goals remains a primary challenge. Learn how to harness the power of an open and interoperable architecture that data practitioners can easily build and scale, while keeping data pipelines portable and future proof.

Join us for this virtual event to:

  • Understand enterprise interoperability and go beyond Lakehouse
  • Explore the options of open standards and learn key market trends
  • See demos of real-world examples
  • Try your hands by building with our instructor-led Hands-on Lab

And don’t just get this from us, join this event to learn from industry leaders including Microsoft, Confluent, and dbt Labs.

In partnership with: 

Agenda
10:00 AM
Thought Leadership Keynote
10:15 AM
Product Overview
10:30 AM
Partner Demo - Confluent
10:40 AM
Partner Demo - dbt Labs
10:50 AM
Virtual Hands-on Lab
12:00 PM
Closing

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Speakers

  • Chris Child

    VP, Product Management | Snowflake

  • Raghu Ramakrishnan

    CTO for Data | Microsoft

  • Saurin Shah

    Sr. Product Manager | Snowflake

  • Timothy Spann

    Sr. Solution Engineer | Snowflake

  • Kasun Indrasiri

    Sr. Product Manager | Confluent

  • Luis Leon

    Partner Solution Architect | dbt Labs

  • Shiyi Gu

    Product Marketing Lead | Snowflake

  • Jason Hughes

    Principal Data Platform Architect | Snowflake

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