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    Mastering Apache Storm. Real-time big data streaming using Kafka, Hbase and Redis

    (ebook) (audiobook) (audiobook) Język publikacji: angielski
    Mastering Apache Storm. Real-time big data streaming using Kafka, Hbase and Redis Ankit Jain - okładka ebooka

    Mastering Apache Storm. Real-time big data streaming using Kafka, Hbase and Redis Ankit Jain - okładka ebooka

    Mastering Apache Storm. Real-time big data streaming using Kafka, Hbase and Redis Ankit Jain - okładka audiobooka MP3

    Mastering Apache Storm. Real-time big data streaming using Kafka, Hbase and Redis Ankit Jain - okładka audiobooks CD

    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    284
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    Ebook

    159,00 zł

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    Apache Storm is a real-time Big Data processing framework that processes large amounts of data reliably, guaranteeing that every message will be processed. Storm allows you to scale your data as it grows, making it an excellent platform to solve your big data problems. This extensive guide will help you understand right from the basics to the advanced topics of Storm.

    The book begins with a detailed introduction to real-time processing and where Storm fits in to solve these problems. You’ll get an understanding of deploying Storm on clusters by writing a basic Storm Hello World example. Next we’ll introduce you to Trident and you’ll get a clear understanding of how you can develop and deploy a trident topology. We cover topics such as monitoring, Storm Parallelism, scheduler and log processing, in a very easy to understand manner. You will also learn how to integrate Storm with other well-known Big Data technologies such as HBase, Redis, Kafka, and Hadoop to realize the full potential of Storm.

    With real-world examples and clear explanations, this book will ensure you will have a thorough mastery of Apache Storm. You will be able to use this knowledge to develop efficient, distributed real-time applications to cater to your business needs.

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    O autorze ebooka

    Ankit Jain jest naukowcem. Pracuje w oddziale badawczym Ubera, gdzie zajmuje się metodami głębokiego uczenia. Wcześniej wykładał na Uniwersytecie Kalifornijskim w Berkeley.

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