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Big Data Simplified
book

Big Data Simplified

by Sayan Goswami, Amit Kumar Das, Sourabh Mukherjee
June 2019
Beginner to intermediate content levelBeginner to intermediate
360 pages
10h 55m
English
Pearson Education India
Content preview from Big Data Simplified
Introducing Spark andKafka | 119
focus, specically on batch processing. This over-specication led to an explosion of specialized
libraries, each attempting to solve a different problem. So, if you want to process streaming
data at scale, then you would have to use another complimentary library called Storm. Apache
Storm is a free and open source, scalable, fault-tolerant, distributed real-time computation sys-
tem. Storm makes it easy to reliably process unbounded streams of data, doing for real-time
processing what Hadoop does for batch processing. Again, you may nd it easier to query your
data using something like Hive.
So, along came Spark’s generalized abstractions for big data computing, bringing the big data
pipeline into one cohesive ...
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Publisher Resources

ISBN: 9789353941505