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Best Pyspark Books of 2026
Best Choice
1
Packt PublishingLearning PySpark: Build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0
2
Independently publishedPyspark Prism: Channeling Data Excellence with PySpark on Databricks
Value for Money
3
The PySpark Data Engineering Handbook: A Practical Guide to Building High-Performance Data Pipelines, Transforming Large Datasets, Optimizing Spark Applications, and Solving Real-World Data Problems
64% Off4
Packt PublishingPySpark Cookbook: Over 60 recipes for implementing big data processing and analytics using Apache Spark and Python
5
Independently publishedIntroduction to pyspark
6
Apache Airflow in Action: Build Production-Ready Data Pipelines: Build, Schedule, and Scale Production-Ready Pipelines with ETL, PySpark, Databricks, and ... Domain For professional Book 11)
7
HiTeX PressPySpark Essentials: A Practical Guide to Distributed Computing
8
Independently publishedAprendendo PySpark: Passo a Passo
9
Alex Merced BooksThe Book on Using Apache Iceberg with Python: PyIceberg, PySpark, Datafusion and more (Merced Books on Agentic AI and Data)
29% Off10
Learn PySpark: Build Python-based Machine Learning and Deep Learning Models
49% Off
