ODBIERZ TWÓJ BONUS :: »

    Mastering Apache Spark 2.x. Advanced techniques in complex Big Data processing, streaming analytics and machine learning - Second Edition

    (ebook) (audiobook) (audiobook) Język publikacji: angielski
    Mastering Apache Spark 2.x. Advanced techniques in complex Big Data processing, streaming analytics and machine learning - Second Edition Romeo Kienzler - okładka ebooka

    Mastering Apache Spark 2.x. Advanced techniques in complex Big Data processing, streaming analytics and machine learning - Second Edition Romeo Kienzler - okładka ebooka

    Mastering Apache Spark 2.x. Advanced techniques in complex Big Data processing, streaming analytics and machine learning - Second Edition Romeo Kienzler - okładka audiobooka MP3

    Mastering Apache Spark 2.x. Advanced techniques in complex Big Data processing, streaming analytics and machine learning - Second Edition Romeo Kienzler - okładka audiobooks CD

    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    354
    Dostępne formaty:
    PDF
    ePub
    Mobi

    Ebook

    159,00 zł

    Dodaj do koszyka lub Kup na prezent
    Kup 1-kliknięciem

    Przenieś na półkę

    Do przechowalni

    Apache Spark is an in-memory, cluster-based Big Data processing system that provides a wide range of functionalities such as graph processing, machine learning, stream processing, and more. This book will take your knowledge of Apache Spark to the next level by teaching you how to expand Spark’s functionality and build your data flows and machine/deep learning programs on top of the platform.

    The book starts with a quick overview of the Apache Spark ecosystem, and introduces you to the new features and capabilities in Apache Spark 2.x. You will then work with the different modules in Apache Spark such as interactive querying with Spark SQL, using DataFrames and DataSets effectively, streaming analytics with Spark Streaming, and performing machine learning and deep learning on Spark using MLlib and external tools such as H20 and Deeplearning4j. The book also contains chapters on efficient graph processing, memory management and using Apache Spark on the cloud.

    By the end of this book, you will have all the necessary information to master Apache Spark, and use it efficiently for Big Data processing and analytics.

    Wybrane bestsellery

    O autorze ebooka

    Romeo Kienzler works as the chief data scientist in the IBM Watson IoT worldwide team, helping clients to apply advanced machine learning at scale on their IoT sensor data. He holds a Master's degree in computer science from the Swiss Federal Institute of Technology, Zurich, with a specialization in information systems, bioinformatics, and applied statistics.

    Zamknij

    Wybierz metodę płatności

    Zamknij Pobierz aplikację mobilną Ebookpoint