Data science and machine learning (ML) create a competitive advantage for companies. But to be successful, organizations need to obtain more varied data than ever before and quickly provide it to their data scientists. Ingesting, processing and cleansing data rapidly can be challenging. And integrating that data with the latest ML tools, frameworks, and libraries is critical.

With Snowflake, data scientists have more time to explore new models and try new ML tools through Snowflake’s extensive partner ecosystem.

Join us Tuesday, June 22nd at 2:00pm ET for session four of Tech Data SnowDay and learn how Snowflake..

  • Provides a centralized source of high-performance data to a robust ecosystem of data science partners to help data scientists be faster and more efficient.
  • Delivers a streamlined approach to unifying your BI analytics with data science
  • Enables efficient data preparation with dedicated compute clusters for each team and no resource contention
Speakers
  • Mats Stellwall

    Senior Sales Engineer

REGISTER NOW

Register above through Zoom and be sure to save this session to your calendar!