Many data engineers maintain, secure, and pay for separate infrastructure and services in order to accommodate different tools and languages—it’s a lot to juggle. With Snowflake, data engineers can use Python, SQL, Java, and Scala and access best-in-class tools, all in one platform.
Join this instructor-led virtual hands-on lab on 20 September to test drive this yourself! An expert will teach you step-by-step how to:
- Use stages and tables to ingest and organise raw data from S3 into Snowflake
- Perform data transformations leveraging Snowpark for Python DataFrames
- Turn data pipeline code into operational pipelines with integrated monitoring
- Prepare data and run ML training using scikit-learn
- Deploy the model as a Snowpark User-Defined-Function (UDF) using the integrated Anaconda package repository
- Build an interactive application using Python to visualise the data
Speakers
Mats Stellwall
Field CTO, Data Science
Snowflake