Clean & Transform Strings in PySpark Using regexp_replace() Replace Text with Regex PySpark Tutorial
If you're dealing with messy strings and need a smarter way to clean and transform data in PySpark, this tutorial is for you. We dive into the powerful regexp_replace() function, showing how to remove unwanted characters, format phone numbers, and replace patterns using regular expressions. Whether you're tidying up emails or cleaning price fields, this guide walks you through it with clear examples.
#PySpark #DataCleaning #RegexReplace #ApacheSpark #BigData #PySparkTutorial #ETL #SparkRegex
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https://www.techbrothersit.com/2025/04/clean-transform-strings-in-pyspark.html
Видео Clean & Transform Strings in PySpark Using regexp_replace() Replace Text with Regex PySpark Tutorial канала TechBrothersIT
#PySpark #DataCleaning #RegexReplace #ApacheSpark #BigData #PySparkTutorial #ETL #SparkRegex
regexp_replace pyspark, regex replace spark, clean strings pyspark, format strings in spark, pyspark regex example, pyspark string replace, pyspark data cleaning, apache spark tutorials, pyspark phone cleanup, pyspark email masking
Link to script used in this video
https://www.techbrothersit.com/2025/04/clean-transform-strings-in-pyspark.html
Видео Clean & Transform Strings in PySpark Using regexp_replace() Replace Text with Regex PySpark Tutorial канала TechBrothersIT
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16 июля 2025 г. 9:00:10
00:05:26
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