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What type of big data problems Apache Spark can solve?

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As we know that Apache Spark is an open-source big data framework. It provides an expressive APIs to facilitate big data professionals to execute streaming and batching efficiently. It is designed for fast computation and also provides a faster and more general data processing platform engine.

Apache Spark was developed at UC Berkeley in 2009 as an Apache project called "lighting fast cluster computing". It can distribute data in a file system across the cluster and processes that data in parallel.

Using Spark, we can write an application in Java, Python, Scala or R language.

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