what is spark scala and its architecture?

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Spark Scala is a distributed computing framework that combines Scala programming language with Apache Spark.

Spark Scala is a programming language that runs on top of the Apache Spark framework.
It provides a high-level API for distributed data processing and analytics.
Spark Scala leverages the power of Scala's functional programming capabilities.
It allows developers to write complex data processing tasks in a concise and expressive manner.
Spark Scala's architecture consists of a driver program, cluster manager, and worker nodes.
The driver program runs the main function and coordinates the execution of tasks.
The cluster manager allocates resources and schedules tasks on worker nodes.
Worker nodes execute the tasks in parallel and communicate with the driver program.
Spark Scala supports various data sources, including Hadoop Distributed File System (HDFS), Apache Cassandra, and more.
It provides built-in libraries for machine learning (MLlib), graph processing (GraphX), and stream processing (Spark Streaming).

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