With the explosion in demand for analytics, machine learning and apps, businesses need a platform that can process data without manual and complex tuning . Developers are turning to Snowflake’s multi-language compute engine for elastic scalability without any maintenance or overhead.
Join Snowpark Day on 31 July to learn how Snowflake, Dataiku and Dbt can help you get the most value out of your data in a single platform. You will learn how to easily build scalable machine learning pipelines and deploy analytics with ease.
Experts will cover how to:
- Leverage Snowpark’s libraries and code execution environments to run Python and other programming languages next to your governed data in Snowflake
- Work from your development tool of choice without having to move any data out of Snowflake
- Leverage Dataiku’s visual recipes to train a model and perform inference—all without writing a single line of code
- Leverage dbt cloud to generate analytics and ML-ready pipelines with SQL and python
In Partnership with :
Lucy Zhu
Product Marketing Manager at Snowflake
FELIPE HOFFA
Lead Developer Advocate at Snowflake
STEPHEN FRANKS
Senior Solutions Architect at Dataiku
KIRAN EARALLI
Associate Principal Data Engineer at LTIMindtree
RANGANATH RAMAKRISHNA
CTO at FOSFOR
HOPE WATSON
Partner Engineer at dbt Labs