Apache Spark consists of several key components that work together to provide a comprehensive data processing and analytics platform:
Spark Core: The foundation of Spark, responsible for basic functionalities like task scheduling, memory management, and fault recovery. Spark SQL: A module for working with structured data, enabling SQL queries and seamless integration with Business Intelligence tools. Spark Streaming: Allows for real-time processing of streaming data, which is crucial for applications requiring up-to-the-minute insights. MLlib: Spark's machine learning library, providing algorithms and utilities for building predictive models. GraphX: A library for graph processing, useful for applications involving social networks, recommendation systems, and more.