Transform Data Using the Pandas API in Apache Spark
Transform Data Using the Pandas API in Apache Spark
.MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 12m | 41.4 MB
Instructor: Bismark Adomako
.MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 12m | 41.4 MB
Instructor: Bismark Adomako
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.
Transform Data Using the Pandas API in Apache Spark
