Describe the process of cleaning data and handling null values.
Apache Spark 3 for Data Engineering and Analytics with Python - Working with Structured Operations
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Information Technology (IT), Architecture, Social Studies
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This video tutorial covers structured operations using the Dataframe API, focusing on shaping dataframes to meet specific requirements. It includes selecting and filtering data, ensuring data uniqueness, ordering, and reshaping dataframes. The tutorial also addresses data cleaning challenges, such as handling null values, and demonstrates creating user-defined functions in Python for use in Spark. The goal is to equip learners with the skills to transform and clean data effectively.
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What is the significance of user-defined functions in data transformation?
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