Spark for Batch Processing
📋 Table of Contents
Spark for Batch Processing
Apache Spark is a powerful distributed computing framework that excels at processing large datasets in batch mode.
What is Batch Processing?
Batch processing involves processing large volumes of data in chunks or “batches” at scheduled intervals.
Why Spark for Batch Processing?
- Speed: In-memory computing makes Spark much faster than traditional MapReduce
- Ease of Use: Simple APIs in Python, Scala, Java, and R
- Unified Platform: Handles batch, streaming, ML, and graph processing