Published On Aug 1, 2024
Unlock the power of dynamic unpivoting in PySpark with this step-by-step tutorial! Join Mitchell Pearson from Pragmatic Works as he guides you through transforming wide-format data into a relational format effortlessly. Whether you're dealing with mainframe, government, CSV, or Excel files, this video will teach you how to handle an unspecified number of columns, making your data analysis more efficient and streamlined. Watch as Mitchell demonstrates a simple yet powerful method to dynamically unpivot data, ensuring your code adapts to changing file requirements without complexity.
🔹 What You'll Learn:
Basics of unpivoting in PySpark
Handling wide data formats for better analysis
Creating and using list variables for unpivoting
Dynamically generating column lists from data frames
Efficiently excluding constant columns during unpivoting
👉 On-Demand Learning - Start With The FREE Community Plan: https://prag.works/odl-trial-yt
đź”—Pragmatic Works On-Demand Learning Packages: https://pragmaticworks.com/pricing/
đź”—Pragmatic Works Boot Camps: https://pragmaticworks.com/boot-camps/
đź”—Pragmatic Works Hackathons: https://pragmaticworks.com/private-tr...
đź”—Pragmatic Works Virtual Mentoring: https://pragmaticworks.com/virtual-me...
đź”—Pragmatic Works Enterprise Private Training: https://pragmaticworks.com/private-tr...
đź”—Pragmatic Works Blog: http://blog.pragmaticworks.com/
00:00 - Intro
00:30 - Reading the Data
01:54 - Basic Unpivot Operation
02:55 - Defining Columns to Unpivot
04:51 - Testing the Unpivot
06:27 - Creating a List Variable
07:38 - Dynamic Column Handling
09:24 - Removing Unwanted Columns
10:17 - Final Unpivot Demonstration
10:48 - Conclusion
Let's connect:
✔️Discord: https://prag.works/yt-discord
✔️Facebook: https://prag.works/yt-fb
✔️Instagram: https://prag.works/yt-insta
✔️LinkedIn: https://prag.works/yt-li
Pragmatic Works
7175 Hwy 17, Suite 2 Fleming Island, FL 32003
Phone: (904) 638-5743
Email: [email protected]
#pragmaticworks
#PySpark #DataTransformation #Unpivot #DataAnalysis #BigData #PragmaticWorks #databricks
