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Sinopsis
Applications that use and evaluate real-time streams need to take the features of the underlying processing engine into account. This is the first book about Apache Apex, teaching readers how to include the real-time streaming engine Apex in a functioning application, and which parts to add to make it performant and usable.
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Thomas Weise is the Apache Apex PMC Chair and cofounder at Atrato. Earlier, he worked at a number of other technology companies in the San Francisco Bay Area, including DataTorrent, where he was a cofounder of the Apex project. Thomas is also a committer toApache Beam and has contributed to several more of the ecosystem projects. He has been working on distributed systems for 20 years and has been a speaker at international big data conferences. Thomas received the degree of Diplom-Informatiker (MSc in computer science) from TU Dresden, Germany. He can be reached on Twitter at
@thweise.Dr. Munagala V. Ramanath got his PhD in Computer Science from the University of Wisconsin, USA and an MSc in Mathematics from Carleton University, Ottawa, Canada. After that, he taught Computer Science courses as Assistant/Associate Professor at theUniversity of Western Ontario in Canada for a few years, before transitioning to the corporate sphere. Since then, he has worked as a senior software engineer at a number of technology companies in California including SeeBeyond, EMC, Sun Microsystems,DataTorrent, and Cloudera. He has published papers in peer reviewed journals in several areas including code optimization, graph theory, and image processing.David Yan is based in the Silicon Valley, California. He is a senior software engineer at Google. Prior to Google, he worked at DataTorrent, Yahoo!, and the Jet Propulsion Laboratory. David holds a master of science in Computer Science from Stanford Universityand a bachelor of science in Electrical Engineering and Computer Science from the University of California at BerkeleyKenneth Knowles is a founding PMC member of Apache Beam. Kenn has been working on Google Cloud Dataflow―Google’s Beam backend―since 2014. Prior to that, he built backends for startups such as Cityspan, Inkling, and Dimagi. Kenn holds a PhD inProgramming Language Theory from the University of California, Santa Cruz.
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Learning Apache Apex: Real-time streaming applications with Apex
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Learning Apache Apex
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Learning Apache Apex
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Packt Publishing, 2017
ISBN 10: 1788296400
ISBN 13: 9781788296403
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Learning Apache Apex
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Learning Apache Apex Realtime streaming applications with Apex
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Learning Apache Apex
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ISBN 10: 1788296400
ISBN 13: 9781788296403
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Paperback. Condición: New. Designing and writing a real-time streaming publication with Apache ApexAbout This Book. Get a clear, practical approach to real-time data processing. Program Apache Apex streaming applications. This book shows you Apex integration with the open source Big Data ecosystemWho This Book Is ForThis book assumes knowledge of application development with Java and familiarity with distributed systems. Familiarity with other real-time streaming frameworks is not required, but some practical experience with other big data processing utilities might be helpful.What You Will Learn. Put together a functioning Apex application from scratch. Scale an Apex application and configure it for optimal performance. Understand how to deal with failures via the fault tolerance features of the platform. Use Apex via other frameworks such as Beam. Understand the DevOps implications of deploying ApexIn DetailApache Apex is a next-generation stream processing framework designed to operate on data at large scale, with minimum latency, maximum reliability, and strict correctness guarantees.Half of the book consists of Apex applications, showing you key aspects of data processing pipelines such as connectors for sources and sinks, and common data transformations. The other half of the book is evenly split into explaining the Apex framework, and tuning, testing, and scaling Apex applications.Much of our economic world depends on growing streams of data, such as social media feeds, financial records, data from mobile devices, sensors and machines (the Internet of Things - IoT). The projects in the book show how to process such streams to gain valuable, timely, and actionable insights. Traditional use cases, such as ETL, that currently consume a significant chunk of data engineering resources are also covered.The final chapter shows you future possibilities emerging in the streaming space, and how Apache Apex can contribute to it.Style and approachThis book is divided into two major parts: first it explains what Apex is, what its relevant parts are, and how to write well-built Apex applications. The second part is entirely application-driven, walking you through Apex applications of increasing complexity. Nº de ref. del artículo: LU-9781788296403
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Learning Apache Apex
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ISBN 10: 1788296400
ISBN 13: 9781788296403
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