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Practical Real-time Data Processing and Analytics
book

Practical Real-time Data Processing and Analytics

by Shilpi Saxena, Selva raj Ramasamy, Prateek Bhati, Saurabh Gupta
September 2017
Beginner to intermediate
360 pages
8h 13m
English
Packt Publishing
Content preview from Practical Real-time Data Processing and Analytics

Characteristics

The following are important characteristics of Storm:

  • Fast: As per Hortonworks, the benchmark is to process one million 100-bytes of messages per second per node. It is lighting fast.
  • Reliable: Storm guarantees message processing either at least once or at most once.
  • Scalable: Storm can scale to a massive number of messages per second. You need to add more supervisor nodes along with increasing the parallelism of spouts and bolts in a topology.
  • Fault-tolerant: In case any Supervisor dies, then Nimbus node redistributes the task to another Supervisor. If any worker dies, then Supervisor redistributes the task to another worker. The same applies to the Executor and the Task.
  • Programing language agnostic: Topology can be written ...
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Publisher Resources

ISBN: 9781787281202