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Transform Data Using the Pandas API in Apache Spark
Learn to transform data with the Pandas API in Apache Spark. This course will teach you practical techniques for data manipulation, performance optimization, and using advanced window functions in Spark workflows.
What you'll learn
Efficient data manipulation is essential in large-scale data processing. In this course, Transform Data Using the Pandas API in Apache Spark, you'll learn how to leverage the Pandas API for powerful data transformation in Spark. First, you’ll cover essential techniques like filtering, grouping, and merging. Next, you'll optimize workflows with Arrow. Finally, you'll dive into rolling and expanding window functions. When you’re finished with this course, you’ll have a better understanding of how to integrate the Pandas API with Apache Spark to handle complex data manipulation tasks with improved performance and efficiency.
Table of contents
About the author
Bismark is a BI & Big Data Engineer obsessed with applying his knowledge in computer engineering and mathematics in the fields of Data Science, Artificial Intelligence, Machine Learning, Big Data, and Human Computer Interaction to find disease cures, provision of better healthcare and technology, autonomous systems, education and productivity through research into novel methods and algorithms for computation.