How to replace NULL value in Spark Dataframe? | www.smartdatacamp.com

Опубликовано: 18 Март 2026
на канале: Smart Data Camp
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In this tutorial, you'll learn how to replace null values in an Apache Spark DataFrame. We will demonstrate how to load a CSV file, inspect the DataFrame's schema, and use the fillna() method to handle missing data. We'll show you how to replace nulls in both numeric columns (with a value like 0) and string columns (with a value like "unknown"). This is a fundamental skill for data cleaning in any data engineering or data science project.

By attending this course you will get to know frequently and most likely asked Programming, Scenario based, Fundamentals, and Performance Tuning based Question asked in Apache Spark Interview along with the answer This will help Apache Spark Career Aspirants to prepare for the interview.

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