What is the use of spark and scala frameworks after hadoop...

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Prasanna Kumar

10 years of Hadoop Spark Expertise

Though we are using map reduce for the batch processing, but its not meant for real time processing, for this reason clients are looking for spark. and spark has been developed in scala, it would be more friendly in development area compared to java. So finally conclusion is 1. spark is for real time...
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Though we are using map reduce for the batch processing, but its not meant for real time processing, for this reason clients are looking for spark. and spark has been developed in scala, it would be more friendly in development area compared to java. So finally conclusion is 1. spark is for real time processing 2. scala is to work on spark (more compatible, fast, easy while working in development environment) read less
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Spark is inmemory processing and it is 100 times faster than hadoop.Hadoop is for batch process but spark for microbatch
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