Beginning Apache Spark 2: With Resilient Distributed Datasets, Spark SQL, Structured Streaming and Spark Machine Learning library - Couverture souple
Synopsis
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.
What You Will Learn
- Understand Spark unified data processing platform
- How to run Spark in Spark Shell or Databricks
- Use and manipulate RDDs
- Deal with structured data using Spark SQL through its operations and advanced functions
- Build real-time applications using Spark Structured Streaming
- Develop intelligent applications with the Spark Machine Learning library
Who This Book Is For
Programmers and developers active in big data, Hadoop, and Java but who are new to the Apache Spark platform.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Hien Luu has extensive experience in designing and building big data applications and scalable web-based applications. He is particularly passionate about the intersection between big data and machine learning. Hien enjoys working with open source software and has contributed to Apache Pig and Azkaban. Teaching is also one of his passions, and he serves as an instructor at the UCSC Silicon Valley Extension school teaching Apache Spark. He has given presentations at various conferences such a QCon SF, QCon London, Seattle Data Day, Hadoop Summit, and JavaOne.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Beginning Apache Spark : With Streams, Resilient Distributed Datasets, Spark SQL, and Machine Learning
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Apress L. P., 2018
ISBN 10 : 1484235789
ISBN 13 : 9781484235782
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Beginning Apache Spark : With Streams, Resilient Distributed Datasets, Spark SQL, and Machine Learning
Edité par
Apress L. P., 2018
ISBN 10 : 1484235789
ISBN 13 : 9781484235782
Ancien ou d'occasion
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Beginning Apache Spark : With Streams, Resilient Distributed Datasets, Spark SQL, and Machine Learning
Edité par
Apress L. P., 2018
ISBN 10 : 1484235789
ISBN 13 : 9781484235782
Ancien ou d'occasion
Couverture souple
Vendeur : Better World Books: West, Reno, NV, Etats-Unis
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Etat : Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good. N° de réf. du vendeur 40066469-6
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Beginning Apache Spark 2: With Resilient Distributed Datasets, Spark Sql, Structured Streaming and Spark Machine Learning Library
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Beginning Apache Spark 2 : With Resilient Distributed Datasets, Spark SQL, Structured Streaming and Spark Machine Learning Library
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Apress, 2018
ISBN 10 : 1484235789
ISBN 13 : 9781484235782
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Beginning Apache Spark 2 : With Resilient Distributed Datasets, Spark SQL, Structured Streaming and Spark Machine Learning Library
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Beginning Apache Spark 2 (Paperback)
Edité par
APress, Berkley, 2018
ISBN 10 : 1484235789
ISBN 13 : 9781484235782
Neuf
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Paperback. Etat : new. Paperback. 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. What You Will Learn Understand Spark unified data processing platform How to run Spark in Spark Shell or Databricks Use and manipulate RDDs Deal with structured data using Spark SQL through its operations and advanced functions Build real-time applications using Spark Structured Streaming Develop intelligent applications with the Spark Machine Learning library Who This Book Is For Programmers and developers active in big data, Hadoop, and Java but who are new to the Apache Spark platform. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781484235782
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Beginning Apache Spark 2: With Resilient Distributed Datasets, Spark SQL, Structured Streaming and Spark Machine Learning Library
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ISBN 10 : 1484235789
ISBN 13 : 9781484235782
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Beginning Apache Spark 2
Edité par
APress, US, 2018
ISBN 10 : 1484235789
ISBN 13 : 9781484235782
Neuf
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Paperback. Etat : New. 1st ed. 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. What You Will Learn Understand Spark unified data processing platformHow to run Spark in Spark Shell or Databricks Use and manipulate RDDs Deal with structured data using Spark SQL through its operations and advanced functionsBuild real-time applications using Spark Structured StreamingDevelop intelligent applications with the Spark Machine Learning libraryWho This Book Is ForProgrammers and developers active in big data, Hadoop, and Java but who are new to the Apache Spark platform. N° de réf. du vendeur LU-9781484235782
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