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Beginning Apache Spark 2 : with resilient distributed datasets, Spark SQL, structured streaming and Spark Machine Learning library /

Develop applications for the big data landscape with Spark and Hadoop. This book also explains the role of Spark in developing scalable machine learning and analytics applications with Cloud technologies. Beginning Apache Spark 2 gives you an introduction to Apache Spark and shows you how to work wi...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Luu, Hien (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [New York, New York] : Apress, [2018]
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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245 1 0 |a Beginning Apache Spark 2 :  |b with resilient distributed datasets, Spark SQL, structured streaming and Spark Machine Learning library /  |c Hien Luu. 
264 1 |a [New York, New York] :  |b Apress,  |c [2018] 
264 2 |a New York, NY :  |b Distributed to the Book trade worldwide by Springer Science+Business Media 
264 4 |c ©2018 
300 |a 1 online resource (xi, 393 pages) :  |b illustrations 
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505 0 |a 1. Introduction to Apache Spark -- 2. Working with Apache Spark -- 3. Resilient distributed datasets -- 4. Spark SQL (Foundations) -- 5. Spark SQL (Advanced) -- 6. Spark streaming -- 7. Spark streaming (Advanced) -- 8. Machine learning with Spark. 
520 |a Develop applications for the big data landscape with Spark and Hadoop. This book also explains the role of Spark in developing scalable machine learning and analytics applications with Cloud technologies. Beginning Apache Spark 2 gives you an introduction to Apache Spark and shows you how to work with it. Along the way, you'll discover resilient distributed datasets (RDDs); use Spark SQL for structured data; and learn stream processing and build real-time applications with Spark Structured Streaming. Furthermore, you'll learn the fundamentals of Spark ML for machine learning and much more. After you read this book, you will have the fundamentals to become proficient in using Apache Spark and know when and how to apply it to your big data applications. 
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