learning-apache-spark and Spark-with-Python
About learning-apache-spark
MingChen0919/learning-apache-spark
Notes on Apache Spark (pyspark)
These notes help data professionals understand how to process and analyze very large datasets efficiently using Apache Spark. They cover common data manipulation and analysis tasks, showing how to transform raw data into actionable insights or cleaned datasets ready for further use. Data engineers, data scientists, and analysts working with big data will find this resource useful.
About Spark-with-Python
tirthajyoti/Spark-with-Python
Fundamentals of Spark with Python (using PySpark), code examples
If you're a data professional, this project offers practical code examples and setup guidance for using Apache Spark with Python (PySpark). It helps you process vast amounts of data efficiently, providing a robust framework for big data analytics and machine learning. This is ideal for data scientists, data engineers, or machine learning engineers who need to work with large, distributed datasets.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work