Master Snowpark Python: Data Engineering Pro Guide
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1:51:11
01 - Snowpark for data engineers.mp4
05:30
02 - Prerequisites.mp4
00:39
01 - Getting set up with Snowflake.mp4
04:52
02 - Writing our first Snowpark handler.mp4
03:59
03 - Returning a table from the Snowpark handler.mp4
02:35
04 - Transformation with Snowpark data frames.mp4
03:06
05 - Reading files from a stage.mp4
04:30
06 - Defining multiple functions in a Python worksheet.mp4
03:04
07 - Installing Anaconda packages in a session.mp4
02:18
08 - Accessing custom packages from a stage.mp4
02:30
01 - Using Snowpark from a locally running Jupyter Notebook.mp4
05:31
02 - Data transformations using Snowpark DataFrames.mp4
02:03
03 - Performing union operations on DataFrames.mp4
02:37
04 - Performing joins.mp4
03:29
05 - Creating views.mp4
04:04
06 - Working with semi-structured data.mp4
03:15
01 - UDFS, UDTFs, and Stored procedures.mp4
04:39
02 - Creating anonymous UDFs in Snowpark.mp4
04:16
03 - Creating named UDFs in Snowpark.mp4
03:21
04 - Accessing external packages in AUDF.mp4
02:18
05 - Understanding temporary UDFs.mp4
05:55
06 - Creating and invoking permanent UDFs.mp4
02:53
01 - Creating and registering a UDTF.mp4
06:42
02 - Invoking a UDTF in Python and SQL.mp4
02:59
03 - Creating a table and uploading data.mp4
02:40
04 - Implementing a full-fledged UDTF.mp4
05:26
05 - Invoking UDTFs with different arguments.mp4
01:36
01 - Creating and registering stored procedures.mp4
05:09
02 - Creating parameterized stored procedures.mp4
02:19
03 - Stored procedures with loops and conditional logic.mp4
02:10
04 - Deploying a stored procedure.mp4
03:12
01 - Summary and next steps.mp4
01:34
More details
Course Overview
Dive deep into Snowpark Python for Snowflake, mastering data engineering tasks from basic transformations to advanced UDFs and stored procedures. This hands-on course guides you through Snowpark's full capabilities within the Snowflake ecosystem.
What You'll Learn
- Write and execute Snowpark handlers in Python worksheets
- Perform complex data transformations using Snowpark DataFrames
- Create and manage UDFs, UDTFs, and stored procedures
Who This Is For
- Data engineers seeking Snowflake optimization
- Python developers transitioning to Snowpark
- Analysts working with semi-structured data
Key Benefits
- Hands-on experience with Jupyter Notebook integration
- Learn to process both structured and semi-structured data
- Master package management and custom code deployment
Curriculum Highlights
- Snowpark Handlers & DataFrames
- Advanced UDFs & UDTFs
- Stored Procedures Deployment
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Category
- language english
- Training sessions 32
- duration 1:51:11
- English subtitles has
- Release Date 2025/06/02
