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Scala Spark Big Data by Karim Rezaul (22 results)
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Add to basketPaperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 3.05.
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Scala and Spark for Big Data Analytics
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Scala and Spark for Big Data Analytics
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Scala and Spark for Big Data Analytics: Explore the concepts of functional programming, data streaming, and machine learning
Published by Packt Publishing 2017-07, 2017
ISBN 10: 1785280848 ISBN 13: 9781785280849
Language: English
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Scala and Spark for Big Data Analytics: Explore the concepts of functional programming, data streaming, and machine learning
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Scala and Spark for Big Data Analytics
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£ 67.27
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Add to basketCondition: New. Über den AutorMd. Rezaul Karim is a researcher, author, and data science enthusiast with a strong computer science background, coupled with 10 years of research and development experience in machine learning, deep learning, and data.
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Scala and Spark Big Data Analytical Functional Programming. Data Stream and Machine Learning(Chinese Edition)
Published by Tsinghua University Press, 2020
ISBN 10: 7302551960 ISBN 13: 9787302551966
Language: Chinese
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Add to basketpaperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2020-06-01 Pages: 624 Publisher: Tsinghua University Press Main Content Understanding SCALA Object-Oriented and Functional Programming Concepts In-depth understanding of Scala's collection API Learn RDD and data frames. etc. SPARK core concept Use Spark SQL and GraphX ??analysis .
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Scala and Spark for Big Data Analytics Explore the concepts of functional programming, data streaming, and machine learning
Published by Packt Publishing Limited, 2017
ISBN 10: 1785280848 ISBN 13: 9781785280849
Language: English
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£ 57.73
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Scala and Spark for Big Data Analytics Explore the concepts of functional programming, data streaming, and machine learning
Published by Packt Publishing Limited, 2017
ISBN 10: 1785280848 ISBN 13: 9781785280849
Language: English
£ 68.98
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Harness the power of Scala to program Spark and analyze tonnes of data in the blink of an eye!Key FeaturesLearn Scala's sophisticated type system that combines Functional Programming and object-oriented conceptsWork on a wide array of applications, from simple batch jobs to stream processing and machine learningExplore the most common as well as some complex use-cases to perform large-scale data analysis with SparkBook DescriptionScala has been observing wide adoption over the past few years, especially in the field of data science and analytics. Spark, built on Scala, has gained a lot of recognition and is being used widely in productions. Thus, if you want to leverage the power of Scala and Spark to make sense of big data, this book is for you.The first part introduces you to Scala, helping you understand the object-oriented and functional programming concepts needed for Spark application development. It then moves on to Spark to cover the basic abstractions using RDD and DataFrame. This will help you develop scalable and fault-tolerant streaming applications by analyzing structured and unstructured data using SparkSQL, GraphX, and Spark structured streaming. Finally, the book moves on to some advanced topics, such as monitoring, configuration, debugging, testing, and deployment.You will also learn how to develop Spark applications using SparkR and PySpark APIs, interactive data analytics using Zeppelin, and in-memory data processing with Alluxio.By the end of this book, you will have a thorough understanding of Spark, and you will be able to perform full-stack data analytics with a feel that no amount of data is too big.What you will learnUnderstand object-oriented & functional programming concepts of ScalaIn-depth understanding of Scala collection APIsWork with RDD and DataFrame to learn Spark's core abstractionsAnalysing structured and unstructured data using SparkSQL and GraphXScalable and fault-tolerant streaming application development using Spark structured streamingLearn machine-learning best practices for classification, regression, dimensionality reduction, and recommendation system to build predictive models with widely used algorithms in Spark MLlib & MLBuild clustering models to cluster a vast amount of dataUnderstand tuning, debugging, and monitoring Spark applicationsDeploy Spark applications on real clusters in Standalone, Mesos, and YARNWho this book is forAnyone who wishes to learn how to perform data analysis by harnessing the power of Spark will find this book extremely useful. No knowledge of Spark or Scala is assumed, although prior programming experience (especially with other JVM languages) will be useful to pick up concepts quicker.
