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You're reading from  Real-time Analytics with Storm and Cassandra

Product typeBook
Published inMar 2015
Reading LevelIntermediate
Publisher
ISBN-139781784395490
Edition1st Edition
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Author (1)
Shilpi Saxena
Shilpi Saxena
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Shilpi Saxena

Shilpi Saxena is an IT professional and also a technology evangelist. She is an engineer who has had exposure to various domains (machine to machine space, healthcare, telecom, hiring, and manufacturing). She has experience in all the aspects of conception and execution of enterprise solutions. She has been architecting, managing, and delivering solutions in the Big Data space for the last 3 years; she also handles a high-performance and geographically-distributed team of elite engineers. Shilpi has more than 12 years (3 years in the Big Data space) of experience in the development and execution of various facets of enterprise solutions both in the products and services dimensions of the software industry. An engineer by degree and profession, she has worn varied hats, such as developer, technical leader, product owner, tech manager, and so on, and she has seen all the flavors that the industry has to offer. She has architected and worked through some of the pioneers' production implementations in Big Data on Storm and Impala with autoscaling in AWS. Shilpi has also authored Real-time Analytics with Storm and Cassandra (https://www.packtpub.com/big-data-and-business-intelligence/learning-real-time-analytics-storm-and-cassandra) with Packt Publishing.
Read more about Shilpi Saxena

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Storm topology wired to the Cassandra store


Now you have been educated and informed about why you should use Cassandra. You have been walked through setting up Cassandra and column family creation, and have even covered the various client/protocol options available to access the Cassandra data store programmatically. As mentioned earlier, Hector has so far been the most widely used API for accessing Cassandra, though the Datastax and Astyanax drivers are fast catching up. For our exercise, we'll use the Hector API.

The use case we want to implement here is to use Cassandra to support real-time, adhoc reporting for telecom data that is being collated, parsed, and enriched using a Storm topology.

As depicted in the preceding figure, the use case requires live telecom Call Detail Record (CDR) capture using the data collection components (for practice, we can use sample records and a simulator shell script to mimic the live CDR feeds). The collated live feed is pushed into the RabbitMQ broker...

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Real-time Analytics with Storm and Cassandra
Published in: Mar 2015Publisher: ISBN-13: 9781784395490

Author (1)

author image
Shilpi Saxena

Shilpi Saxena is an IT professional and also a technology evangelist. She is an engineer who has had exposure to various domains (machine to machine space, healthcare, telecom, hiring, and manufacturing). She has experience in all the aspects of conception and execution of enterprise solutions. She has been architecting, managing, and delivering solutions in the Big Data space for the last 3 years; she also handles a high-performance and geographically-distributed team of elite engineers. Shilpi has more than 12 years (3 years in the Big Data space) of experience in the development and execution of various facets of enterprise solutions both in the products and services dimensions of the software industry. An engineer by degree and profession, she has worn varied hats, such as developer, technical leader, product owner, tech manager, and so on, and she has seen all the flavors that the industry has to offer. She has architected and worked through some of the pioneers' production implementations in Big Data on Storm and Impala with autoscaling in AWS. Shilpi has also authored Real-time Analytics with Storm and Cassandra (https://www.packtpub.com/big-data-and-business-intelligence/learning-real-time-analytics-storm-and-cassandra) with Packt Publishing.
Read more about Shilpi Saxena