Apache Spark and Scala is an open-source framework, that provides fast processing of the Big Data, helping analysts provide result-oriented analytical results in an efficient manner. Apache Spark has built-in modules for streaming that takes lesser disk space and when integrated with Scala, offers high-end analytical power to the user to process Bigger Data.
Apache Spark is the framework used for running large-scale data analytics applications across a group of computers put closed together. It can handle batch and real-time analytics as well as data processing workloads. While, Scala is a programming language, compiled and run on Java Virtual Machine (JVM). The main difference between Spark and Scala is that the former is a cluster computing framework designed for fast Hadoop computation while the latter is a general-purpose programming language which supports functional as well as object-oriented programming.
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Apache Spark alone is a very powerful tool. It is in high demand in the sectors. If integrated with other tools of Big Data, it can definitely make a strong portfolio.
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