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Monster Courses is a leading source of training and development for Information Management professionals and individuals interested in Data Management and Analytics technology.

Apache Spark is a next Gen Big Data Tool. It provides both batch and streaming processing capabilities for faster data processing. Because of its wide range of applications and ease of use to work with, Spark is also called the Swiss army knife of Big Data Analytics.

Spark Streaming supports real time processing of streaming data, such as production web server log files, social media like Twitter, and various messaging queues like Kafka. Under the hood, Spark Streaming receives the input data streams and divides the data into batches.

Spark introduces the concept of an RDD (Resilient Distributed Dataset), an immutable fault-tolerant, distributed collection of objects that can be operated on in parallel. An RDD can contain any type of object and is created by loading an external dataset or distributing a collection from the driver program.

Sparks SQL is a Spark component that supports querying data either via SQL or via the Hive Query Language. It originated as the Apache Hive port to run on top of Spark (in place of Map Reduce) and is now integrated with the Spark stack. In addition to providing support for various data sources, it makes it possible to weave SQL queries with code transformations which results in a very powerful tool.

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