Mastering Apache Storm:
bMaster the intricacies of Apache Storm and develop real-time stream processing applications with ease/bh2About This Book/h2ulliExploit the various real-time processing functionalities offered by Apache Storm such as parallelism, data partitioning, and more/liliIntegrate Storm with other Big Data te...
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Birmingham
Packt Publishing Limited
2017
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Ausgabe: | 1 |
Schlagworte: | |
Zusammenfassung: | bMaster the intricacies of Apache Storm and develop real-time stream processing applications with ease/bh2About This Book/h2ulliExploit the various real-time processing functionalities offered by Apache Storm such as parallelism, data partitioning, and more/liliIntegrate Storm with other Big Data technologies like Hadoop, HBase, and Apache Kafka/liliAn easy-to-understand guide to effortlessly create distributed applications with Storm/li/ulh2Who This Book Is For/h2If you are a Java developer who wants to enter into the world of real-time stream processing applications using Apache Storm, then this book is for you. No previous experience in Storm is required as this book starts from the basics. After finishing this book, you will be able to develop not-so-complex Storm applications. h2What You Will Learn/h2ulliUnderstand the core concepts of Apache Storm and real-time processing/liliFollow the steps to deploy multiple nodes of Storm Cluster/liliCreate Trident topologies to support various message-processing semantics/liliMake your cluster sharing effective using Storm scheduling/liliIntegrate Apache Storm with other Big Data technologies such as Hadoop, HBase, Kafka, and more/liliMonitor the health of your Storm cluster/li/ulh2In Detail/h2Apache 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.h2Style and approach/h2This easy-to-follow guide is full of examples and real-world applications to help you get an in-depth understanding of Apache Storm. |
Beschreibung: | 1 Online-Ressource (284 Seiten) |
ISBN: | 9781787120402 |
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520 | |a bMaster the intricacies of Apache Storm and develop real-time stream processing applications with ease/bh2About This Book/h2ulliExploit the various real-time processing functionalities offered by Apache Storm such as parallelism, data partitioning, and more/liliIntegrate Storm with other Big Data technologies like Hadoop, HBase, and Apache Kafka/liliAn easy-to-understand guide to effortlessly create distributed applications with Storm/li/ulh2Who This Book Is For/h2If you are a Java developer who wants to enter into the world of real-time stream processing applications using Apache Storm, then this book is for you. No previous experience in Storm is required as this book starts from the basics. After finishing this book, you will be able to develop not-so-complex Storm applications. | ||
520 | |a h2What You Will Learn/h2ulliUnderstand the core concepts of Apache Storm and real-time processing/liliFollow the steps to deploy multiple nodes of Storm Cluster/liliCreate Trident topologies to support various message-processing semantics/liliMake your cluster sharing effective using Storm scheduling/liliIntegrate Apache Storm with other Big Data technologies such as Hadoop, HBase, Kafka, and more/liliMonitor the health of your Storm cluster/li/ulh2In Detail/h2Apache 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. | ||
520 | |a 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.h2Style and approach/h2This easy-to-follow guide is full of examples and real-world applications to help you get an in-depth understanding of Apache Storm. | ||
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650 | 4 | |a Design | |
650 | 4 | |a COMPUTERS / Databases / Data Mining | |
912 | |a ZDB-5-WPSE | ||
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Datensatz im Suchindex
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author_facet | Jain, Ankit |
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edition | 1 |
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isbn | 9781787120402 |
language | English |
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publisher | Packt Publishing Limited |
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spelling | Jain, Ankit Verfasser aut Mastering Apache Storm Jain, Ankit 1 Birmingham Packt Publishing Limited 2017 1 Online-Ressource (284 Seiten) txt rdacontent c rdamedia cr rdacarrier bMaster the intricacies of Apache Storm and develop real-time stream processing applications with ease/bh2About This Book/h2ulliExploit the various real-time processing functionalities offered by Apache Storm such as parallelism, data partitioning, and more/liliIntegrate Storm with other Big Data technologies like Hadoop, HBase, and Apache Kafka/liliAn easy-to-understand guide to effortlessly create distributed applications with Storm/li/ulh2Who This Book Is For/h2If you are a Java developer who wants to enter into the world of real-time stream processing applications using Apache Storm, then this book is for you. No previous experience in Storm is required as this book starts from the basics. After finishing this book, you will be able to develop not-so-complex Storm applications. h2What You Will Learn/h2ulliUnderstand the core concepts of Apache Storm and real-time processing/liliFollow the steps to deploy multiple nodes of Storm Cluster/liliCreate Trident topologies to support various message-processing semantics/liliMake your cluster sharing effective using Storm scheduling/liliIntegrate Apache Storm with other Big Data technologies such as Hadoop, HBase, Kafka, and more/liliMonitor the health of your Storm cluster/li/ulh2In Detail/h2Apache 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.h2Style and approach/h2This easy-to-follow guide is full of examples and real-world applications to help you get an in-depth understanding of Apache Storm. COMPUTERS / Data Modeling & Design COMPUTERS / Databases / Data Mining |
spellingShingle | Jain, Ankit Mastering Apache Storm COMPUTERS / Data Modeling & Design COMPUTERS / Databases / Data Mining |
title | Mastering Apache Storm |
title_auth | Mastering Apache Storm |
title_exact_search | Mastering Apache Storm |
title_exact_search_txtP | Mastering Apache Storm |
title_full | Mastering Apache Storm Jain, Ankit |
title_fullStr | Mastering Apache Storm Jain, Ankit |
title_full_unstemmed | Mastering Apache Storm Jain, Ankit |
title_short | Mastering Apache Storm |
title_sort | mastering apache storm |
topic | COMPUTERS / Data Modeling & Design COMPUTERS / Databases / Data Mining |
topic_facet | COMPUTERS / Data Modeling & Design COMPUTERS / Databases / Data Mining |
work_keys_str_mv | AT jainankit masteringapachestorm |