Pyspark
https://www.youtube.com/watch?v=FNJze2Ea780 What is Apache Spark? Apache Spark is an open-source distributed data processing engine designed for big data analytics . It allows you to process large datasets across multiple machines (clusters) quickly and efficiently. Think of it as a supercharged, scalable version of Python’s Pandas or SQL that works on massive data distributed across many servers. Spark is written in scala What is PySpark? PySpark is the Python API for Apache Spark . It allows you to write Spark applications in Python . In other words: Apache Spark = the big data processing engine (written in Scala, runs on JVM). PySpark = a way to use Spark with Python . Key Features of Spark Distributed Computing: Data is split into chunks and processed in parallel across a cluster . Can handle petabytes of data . Fast Processing: Uses in-memory computation , which is faster than disk-based systems like Hadoop MapReduce. Optimized DAG (Direc...