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Home > Computing and Information Technology Books > Databases > Learning Real-time Analytics with Storm and Cassandra: Solve real-time analytics problems effectively using Storm and Cassandra
Learning Real-time Analytics with Storm and Cassandra: Solve real-time analytics problems effectively using Storm and Cassandra

Learning Real-time Analytics with Storm and Cassandra: Solve real-time analytics problems effectively using Storm and Cassandra


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About the Book

Key Features
    Book DescriptionIf you want to efficiently use Storm and Cassandra together and excel at developing production-grade, distributed real-time applications, then this book is for you. No prior knowledge of using Storm and Cassandra together is necessary. However, a background in Java is expected.What you will learn
    • Integrate Storm applications with RabbitMQ for realtime analysis and processing of messages
    • Monitor highly distributed applications using Nagios
    • Integrate the Cassandra data store with Storm
    • Develop and maintain distributed Storm applications in conjunction with Cassandra and In Memory Database (memcache)
    • Build a Trident topology that enables realtime computing with Storm
    • Tune performance for Storm topologies based on the SLA and requirements of the application
    • Use Esper with the Storm framework for rapid development of applications
    Who this book is for

    If you want to efficiently use Storm and Cassandra together and excel at developing production-grade, distributed real-time applications, then this book is for you. No prior knowledge of using Storm and Cassandra together is necessary. However, a background in Java is expected.



    Table of Contents:
    Table of Contents
    1. Let us know Storm
    2. Setting up and My First Topology
    3. Understanding storm internals by practical examples
    4. Setting up multi-node storm cluster
    5. Talking about High Availability and fail over
    6. Adding NoSQL persistence to Storm
    7. Cassandra High availability and eventual consistency
    8. Cassandra management and maintenance
    9. Storm management and maintenance
    10. Advanced concepts on storm
    11. Distributed Cache and CEP with Storm


    About the Author :
    Saxena Shilpi :

    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.


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    Product Details
    • ISBN-13: 9781784390006
    • Publisher: Packt Publishing Limited
    • Publisher Imprint: Packt Publishing Limited
    • Edition: Digital original
    • No of Pages: 220
    • ISBN-10: 1784390003
    • Publisher Date: 08 Jul 2025
    • Binding: Digital (delivered electronically)
    • Language: English
    • Sub Title: Solve real-time analytics problems effectively using Storm and Cassandra


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