Best Practices for Data Engineering and Data Science in Snowflake

WHAT TO EXPECT

SQL and Python are among the most popular languages for data transformations and ML, but data teams often need to set up separate clusters to use multiple languages. Snowpark, Snowflake’s developer framework, changes that by extending the performance, governance, and elasticity of Snowflake beyond SQL to natively support Python on a single platform. See how Snowflake and its robust Snowpark Accelerated partner ecosystem helps you get the most value out of your data without complex environment management.

WHAT YOU WILL EXPLORE & LEARN

• Use the newest Snowpark innovations to build data pipelines and ML models using Python natively in Snowflake
• Work from your development tool of choice with integrations to the most popular IDEs and notebooks
• Perform data engineering tasks using Snowpark for Python through an interactive hands-on lab

WHO SHOULD ATTEND

Virtual Hands-On Labs sessions cater to individuals ranging from beginners to those with extensive experience in using Snowflake. These sessions are tailored to help you initiate or enhance your skills and confidence in the Data Cloud. This includes IT Managers, Data Architects, Engineers, Scientists, Administrators, and Developers.

We look forward to seeing you there!