Scale Your Python Code! (The PySpark Way) | Data Algorithms with Spark
Discover how to conquer big data problems by scaling up your Python code using Apache Spark and its Python API, PySpark. In this review of Data Algorithms with Spark by Mahmoud Parsian, we delve into practical recipes and robust design patterns for high-performance ETL, machine learning, and advanced data analytics. Learn critical methods for selecting the best Spark transformations for optimized solutions, such as leveraging mapPartitions() for summarisation tasks. The book provides essential knowledge for data engineers and data scientists looking to make practical use of this cluster-computing framework.
Get the book - Data Algorithms with Spark: Recipes and Design Patterns for Scaling Up using PySpark 1st Edition by Mahmoud Parsian - On Amazon - https://amzn.to/4iLUJZY
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