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 September 20th to test drive this yourself!
– 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
