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Apache Spark is a data processing framework that enables quick processing of large data sets and can be distributed across multiple computers. It is used in various industries, including banking, telecommunications, and gaming, and supports SQL, streaming data, machine learning, and graph processing. At the core of Apache Spark is the concept of the Resilient Distributed Dataset (RDD), which is an immutable collection of objects that can be split across a computing cluster. RDDs can be created from various sources, and the Spark Core API is built on this concept.
