In the era of big data, the ability to process and analyze large datasets efficiently is crucial. Apache Spark, a powerful open-source unified analytics engine, has emerged as a preferred tool for big data processing.
Understanding Apache Spark
Apache Spark is a distributed processing system designed for big data workloads. Provides an interface for programming entire clusters with implicit data parallelism and fault tolerance. The key features and components of Apache Spark include Spark Core, Spark SQL, Spark Streaming, MLlib for machine learning, and GraphX for graph processing.