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Exploring UDTFs and Polymorphism in PySpark

Offered By: Databricks via YouTube

Tags

PySpark Courses Python Courses SQL Courses Apache Spark Courses Databricks Courses Polymorphism Courses Data Processing Courses Data Engineering Courses

Course Description

Overview

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Dive into a 20-minute presentation exploring User-Defined Table Functions (UDTFs) in PySpark. Learn the fundamentals of UDTFs, including their structure and capabilities, before delving into the concept of polymorphism. Discover how to create polymorphic UDTFs that adapt to various input schemas and data types. Examine practical examples showcasing the versatility of both standard and polymorphic UDTFs in PySpark. Gain insights from Databricks Software Engineers Haejoon Lee and Takuya Ueshin as they demonstrate how to enhance data processing flexibility using these powerful tools.

Syllabus

Exploring UDTFs (User-Defined Table Functions) in PySpark


Taught by

Databricks

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