what is spark and its architecture

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Apache Spark is a fast and general-purpose cluster computing system.

Apache Spark is an open-source distributed computing system that provides an interface for programming entire clusters with implicit data parallelism and fault tolerance.
It has a unified architecture that combines SQL, streaming, machine learning, and graph processing capabilities.
Spark architecture consists of a driver program that coordinates the execution of tasks on a cluster of worker nodes.
It uses a master-slave architecture with a cluster manager to allocate resources and schedule tasks.
Spark's core abstraction is the Resilient Distributed Dataset (RDD), which allows for fault-tolerant distributed data processing.
Example: Spark can be used for processing large-scale data sets in real-time analytics applications.
Example: Spark can be integrated with Hadoop for big data processing tasks.

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