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Explain various Apache Spark ecosystem components. In which scenarios can we use these components?
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Answer / Siddharth Verma
Apache Spark ecosystem consists of various components: Spark Core, Spark SQL, Spark Streaming, MLlib (Machine Learning Library), GraphX, and Structured Streaming. n1. Spark Core is the fundamental component providing high-level APIs for distributed programming.n2. Spark SQL allows SQL queries on data in Spark datasets.n3. Spark Streaming enables processing of live data streams.n4. MLlib provides machine learning algorithms.n5. GraphX supports graph processing.n6. Structured Streaming is a component for processing streaming data as if it were a batch data.nScenarios to use these components include big data processing, machine learning, graph processing, and real-time data stream processing.
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