Getting Started with Data Engineering and ML using Python

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 1 June 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