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    Learning Apache Apex. Real-time streaming applications with Apex

    (ebook) (audiobook) (audiobook) Język publikacji: angielski
    Learning Apache Apex. Real-time streaming applications with Apex Thomas Weise, Munagala V. Ramanath, David Yan, Kenneth Knowles - okładka ebooka

    Learning Apache Apex. Real-time streaming applications with Apex Thomas Weise, Munagala V. Ramanath, David Yan, Kenneth Knowles - okładka ebooka

    Learning Apache Apex. Real-time streaming applications with Apex Thomas Weise, Munagala V. Ramanath, David Yan, Kenneth Knowles - okładka audiobooka MP3

    Learning Apache Apex. Real-time streaming applications with Apex Thomas Weise, Munagala V. Ramanath, David Yan, Kenneth Knowles - okładka audiobooks CD

    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    290
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    PDF
    ePub
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    Ebook

    139,00 zł

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    Do przechowalni

    Apache 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.

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    O autorach ebooka

    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 to Apache 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 the University 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 University and a bachelor of science in Electrical Engineering and Computer Science from the University of California at Berkeley
    Kenneth 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 in

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