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Apache Cassandra is an open source distributed database management system designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure. Cassandra offers robust support for clusters spanning multiple datacenters, with asynchronous master less replication allowing low latency operations for all clients. Cassandra also...

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Hadoop MapReduce framework is primarily designed for batch processing and that makes it less suitable for ad-hoc data exploration, machine learning processes and the like. Big data vendors are trying to address this challenge by replacing MaReduce with alternatives. In case of SQL on Hadoop. Apache Spark is another increasingly popular alternative to replace MapReduce with a more performant...

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Apache Storm, in simple terms, is a distributed framework for real time processing of Big Data like Apache Hadoop is a distributed framework for batch processing. Apache Storm works on task parallelism principle where in the same code is executed on multiple nodes with different input data.

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PySpark is an interface for Apache Spark in Python. It not just permits you to compose Spark applications utilizing Python APIs, yet in addition gives the PySpark shell to intelligently dissecting your information in a disseminated climate. PySpark upholds a large portion of Spark's elements like Spark SQL, Data Frame, Streaming, MLlib (Machine Learning) and Spark Core. Work...

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