May 2024
Intermediate to advanced
254 pages
6h 4m
English
Content preview from The Ultimate Guide to Snowpark
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3
Simplifying Data Processing Using Snowpark
In the previous chapter, we learned how to set up a development environment for Snowpark, as well as various Snowpark components, such as DataFrames, UDFs, and stored procedures. We also covered how to operate those objects and run them in Snowflake. In this chapter, we will cover data processing with Snowpark and learn how to load, prepare, analyze, and transform data using Snowpark.
In this chapter, we’re going to cover the following main topics:
- Data ingestion
- Data exploration and transformation
- Data grouping and analysis
Technical requirements
For this chapter, you require an active Snowflake account and Python installed with Anaconda configured locally. You can refer to the following documentation ...
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