Storm Data
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Storm Data
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Author :
language : en
Publisher:
Release Date : 1961
Storm Data written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1961 with Storms categories.
Storm Data
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Author :
language : en
Publisher:
Release Date : 1959
Storm Data written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1959 with Storms categories.
Storm Data
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Author :
language : en
Publisher:
Release Date : 1959
Storm Data written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1959 with Storms categories.
Annual Data Summary For 1983 Cerc Field Research Facility
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Author : H. Carl Miller
language : en
Publisher:
Release Date : 1986
Annual Data Summary For 1983 Cerc Field Research Facility written by H. Carl Miller and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Meteorology categories.
History Of Tornado Observations And Data Sources
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Author : United States. Weather Bureau
language : en
Publisher:
Release Date : 1963
History Of Tornado Observations And Data Sources written by United States. Weather Bureau and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1963 with Tornadoes categories.
Mastering Apache Storm
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Author : Ankit Jain
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-08-16
Mastering Apache Storm written by Ankit Jain and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-16 with Computers categories.
Master the intricacies of Apache Storm and develop real-time stream processing applications with ease About This Book Exploit the various real-time processing functionalities offered by Apache Storm such as parallelism, data partitioning, and more Integrate Storm with other Big Data technologies like Hadoop, HBase, and Apache Kafka An easy-to-understand guide to effortlessly create distributed applications with Storm Who This Book Is For If 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. What You Will Learn Understand the core concepts of Apache Storm and real-time processing Follow the steps to deploy multiple nodes of Storm Cluster Create Trident topologies to support various message-processing semantics Make your cluster sharing effective using Storm scheduling Integrate Apache Storm with other Big Data technologies such as Hadoop, HBase, Kafka, and more Monitor the health of your Storm cluster In Detail 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. Style and approach This easy-to-follow guide is full of examples and real-world applications to help you get an in-depth understanding of Apache Storm. This book covers the basics thoroughly and also delves into the intermediate and slightly advanced concepts of application development with Apache Storm.
Predicting Storm Surges Chaos Computational Intelligence Data Assimilation And Ensembles
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Author : Michael Siek
language : en
Publisher: CRC Press
Release Date : 2011-12-16
Predicting Storm Surges Chaos Computational Intelligence Data Assimilation And Ensembles written by Michael Siek and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-12-16 with Science categories.
Accurate predictions of storm surge are of importance in many coastal areas in the world to avoid and mitigate its destructive impacts. For this purpose the physically-based (process) numerical models are typically utilized. However, in data-rich cases, one may use data-driven methods aiming at reconstructing the internal patterns of the modelled processes and relationships between the observed descriptive variables. This book focuses on data-driven modelling using methods of nonlinear dynamics and chaos theory. First, some fundamentals of physical oceanography, nonlinear dynamics and chaos, computational intelligence and European operational storm surge models are covered. After that a number of improvements in building chaotic models are presented: nonlinear time series analysis, multi-step prediction, phase space dimensionality reduction, techniques dealing with incomplete time series, phase error correction, finding true neighbours, optimization of chaotic model, data assimilation and multi-model ensemble prediction. The major case study is surge prediction in the North Sea, with some tests on a Caribbean Sea case. The modelling results showed that the enhanced predictive chaotic models can serve as an efficient tool for accurate and reliable short and mid-term predictions of storm surges in order to support decision-makers for flood prediction and ship navigation.
U S Geological Survey Urban Stormwater Data Base Of Constitutent Storm Loads
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Author :
language : en
Publisher:
Release Date : 1987
U S Geological Survey Urban Stormwater Data Base Of Constitutent Storm Loads written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with Urban runoff categories.
Storm Blueprints Patterns For Distributed Real Time Computation
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Author : P. Taylor Goetz
language : en
Publisher: Packt Publishing Ltd
Release Date : 2014-03-26
Storm Blueprints Patterns For Distributed Real Time Computation written by P. Taylor Goetz and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03-26 with Computers categories.
A blueprints book with 10 different projects built in 10 different chapters which demonstrate the various use cases of storm for both beginner and intermediate users, grounded in real-world example applications. Although the book focuses primarily on Java development with Storm, the patterns are more broadly applicable and the tips, techniques, and approaches described in the book apply to architects, developers, and operations. Additionally, the book should provoke and inspire applications of distributed computing to other industries and domains. Hadoop enthusiasts will also find this book a good introduction to Storm, providing a potential migration path from batch processing to the world of real-time analytics.
Analysis Of Severe Storm Data
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Author : John S. Hickey
language : en
Publisher:
Release Date : 1983
Analysis Of Severe Storm Data written by John S. Hickey and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983 with categories.