There are two major data engineering challenges with Python — the problem with siloed data and fragmented practices when it comes to building, testing, deploying, releasing and monitoring the Python data pipelines. Snowflake has introduced Snowpark — a set of libraries and code execution environments that run Python and other programming languages directly in Snowflake without the need to move your data. But what about the development practices?
In this session, we will walk through some of the latest announcements to arm you with capabilities to build data pipelines in Python.
Watch the session to learn:
- How you can improve your authoring experiences with Python (and SQL) with Snowflake
- What’s new with Snowpark
- How your can orchestrate and apply DevOps and CI/CD capabilities to your Python pipelines
- Latest capabilities to monitor, troubleshoot and debug your Python code and pipelines
Speakers
Shiyi Gu
Senior Product Marketing Manager
Snowflake
Manuela Wei
Senior Product Manager
Snowflake
Doris Lee
Product Manager
Snowflake