September 2017
Beginner to intermediate
360 pages
8h 13m
English
book
Practical Real-time Data Processing and Analytics
by Shilpi Saxena, Selva raj Ramasamy, Prateek Bhati, Saurabh Gupta
Content preview from Practical Real-time Data Processing and Analytics
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NRT – The Storm solution
This solution captures the high–level streaming data in real–time and routes it through some Queue/broker: Kafka or RabbitMQ. Then, the distributed processing part is handled through Storm topology, and once the insights are computed, they can be written to a fast write data store like Cassandra or some other queue like Kafka for further real–time downstream processing:
As per the figure, we collect real–time streaming data from diverse data sources, through push/pull collection agents like Flume, Logstash, FluentD, or Kafka adapters. Then, the data is written to Kafka partitions, Storm topologies pull/read the streaming ...
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