PYSPARK BASIC CONCEPTS PART-2

PYSPARK BASIC CONCEPTs

6. Transformations and Actions Copy Text Copied Use a different Browser “”” Transformations (Lazy): – map() – filter() – flatMap() – union() Actions (Eager): – collect() – count() – take() – first() “”” 7. Reading CSV File Copy Text Copied Use a different Browser # Basic read df = spark.read.csv(“path/to/file.csv”) # With options df = … Read more

PYSPARK BASIC CONCEPTS PART-1

PYSPARK BASIC

A deep dive into PySpark fundamentals, offering a thorough exploration of distributed data processing using Apache Spark with Python. This comprehensive guide covers essential concepts from ground up, including DataFrame operations, RDD transformations, data manipulation techniques, and optimization strategies. Perfect for beginners starting their big data journey and intermediate developers looking to solidify their PySpark … Read more