Luraschi javier (21 Ergebnisse)

- Softcover
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- Softcover
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- Softcover
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- Softcover
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Paperback or Softback. Zustand: New. Mastering Spark with R: The Complete Guide to Large-Scale Analysis and Modeling. Book.

- Softcover
Anbieter: Rarewaves USA, HEBRON, KY, USARarewaves USA
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Paperback. Zustand: New. If you're like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large-scale data applications…will learn how to use Spark from R to tackle big data and big compute problems.Authors Javier Luraschi, Kevin Kuo, and Edgar Ruiz show you how to use R with Spark to solve different data analysis problems. This book covers relevant data science topics, cluster computing, and issues that should interest even the most advanced users.Analyze, explore, transform, and visualize data in Apache Spark with RCreate statistical models to extract information and predict outcomes; automate the process in production-ready workflowsPerform analysis and modeling across many machines using distributed computing techniquesUse large-scale data from multiple sources and different formats with ease from within SparkLearn about alternative modeling frameworks for graph processing, geospatial analysis, and genomics at scaleDive into advanced topics including custom transformations, real-time data processing, and creating custom Spark extensions.

- Softcover
Anbieter: GreatBookPrices, Columbia, MD, USAGreatBookPrices
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- Softcover
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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

- Softcover
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EUR 58,47
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Paperback. Zustand: new. Paperback. If you're like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large-scale data ap…plications will learn how to use Spark from R to tackle big data and big compute problems.Authors Javier Luraschi, Kevin Kuo, and Edgar Ruiz show you how to use R with Spark to solve different data analysis problems. This book covers relevant data science topics, cluster computing, and issues that should interest even the most advanced users.Analyze, explore, transform, and visualize data in Apache Spark with R Create statistical models to extract information and predict outcomes; automate the process in production-ready workflows Perform analysis and modeling across many machines using distributed computing techniques Use large-scale data from multiple sources and different formats with ease from within Spark Learn about alternative modeling frameworks for graph processing, geospatial analysis, and genomics at scale Dive into advanced topics including custom transformations, real-time data processing, and creating custom Spark extensions" With this practical book, data scientists and professionals working with large-scale data applications will learn how to use Spark from R to tackle big data and big compute problems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

- Softcover
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes KönigreichGreatBookPricesUK
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EUR 41,12
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- Softcover
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Zustand: As New. Unread book in perfect condition.

- Softcover
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Paperback / softback. Zustand: New. New copy - Usually dispatched within 4 working days.

- Softcover
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Paperback. Zustand: Brand New. 250 pages. 9.00x7.00x0.75 inches. In Stock.

- Softcover
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Zustand: New. In English.

- Softcover
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Zustand: New. 2019. Paperback. . . . . .

- Softcover
Anbieter: Rarewaves USA United, HEBRON, KY, USARarewaves USA United
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EUR 41,13
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Paperback. Zustand: New. If you're like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large-scale data applications…will learn how to use Spark from R to tackle big data and big compute problems.Authors Javier Luraschi, Kevin Kuo, and Edgar Ruiz show you how to use R with Spark to solve different data analysis problems. This book covers relevant data science topics, cluster computing, and issues that should interest even the most advanced users.Analyze, explore, transform, and visualize data in Apache Spark with RCreate statistical models to extract information and predict outcomes; automate the process in production-ready workflowsPerform analysis and modeling across many machines using distributed computing techniquesUse large-scale data from multiple sources and different formats with ease from within SparkLearn about alternative modeling frameworks for graph processing, geospatial analysis, and genomics at scaleDive into advanced topics including custom transformations, real-time data processing, and creating custom Spark extensions.

- Softcover
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EUR 77,20
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Zustand: New. 2019. Paperback. . . . . . Books ship from the US and Ireland.

- Softcover
Anbieter: moluna, Greven, Deutschlandmoluna
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Kartoniert / Broschiert. Zustand: New. With this practical book, data scientists and professionals working with large-scale data applications will learn how to use Spark from R to tackle big data and big compute problems.Über den AutorrnrnJavier is a software enginee.

- Softcover
Anbieter: AussieBookSeller, Truganina, VIC, AustralienAussieBookSeller
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EUR 77,01
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Paperback. Zustand: new. Paperback. If you're like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large-scale data ap…plications will learn how to use Spark from R to tackle big data and big compute problems.Authors Javier Luraschi, Kevin Kuo, and Edgar Ruiz show you how to use R with Spark to solve different data analysis problems. This book covers relevant data science topics, cluster computing, and issues that should interest even the most advanced users.Analyze, explore, transform, and visualize data in Apache Spark with R Create statistical models to extract information and predict outcomes; automate the process in production-ready workflows Perform analysis and modeling across many machines using distributed computing techniques Use large-scale data from multiple sources and different formats with ease from within Spark Learn about alternative modeling frameworks for graph processing, geospatial analysis, and genomics at scale Dive into advanced topics including custom transformations, real-time data processing, and creating custom Spark extensions" With this practical book, data scientists and professionals working with large-scale data applications will learn how to use Spark from R to tackle big data and big compute problems. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 57,00
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Taschenbuch. Zustand: Neu. Neuware - If you're like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large-scale data a…pplications will learn how to use Spark from R to tackle big data and big compute problems.Authors Javier Luraschi, Kevin Kuo, and Edgar Ruiz show you how to use R with Spark to solve different data analysis problems. This book covers relevant data science topics, cluster computing, and issues that should interest even the most advanced users.- Analyze, explore, transform, and visualize data in Apache Spark with R- Create statistical models to extract information and predict outcomes; automate the process in production-ready workflows- Perform analysis and modeling across many machines using distributed computing techniques- Use large-scale data from multiple sources and different formats with ease from within Spark- Learn about alternative modeling frameworks for graph processing, geospatial analysis, and genomics at scale- Dive into advanced topics including custom transformations, real-time data processing, and creating custom Spark extensions.

Large scale data analysis and modeling: Based on Spark and R(Chinese Edition)
[ MEI ] HA WEI ER LU LA XIN ( Javier Luraschi ) . KAI WEN GUO ( Kevin . Kuo . WEI BO YI YI
- Softcover
Anbieter: liu xing, Nanjing, JS, Chinaliu xing
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EUR 109,56
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paperback. Zustand: New. Language:Chinese.Paperback. Pub Date: 260 Publisher: Mechanical Industry Press The purpose of this book is to help everyone use Apache Spark through R. Chapter 1 ~ Chapter 5. simply introducing how to implement data science and machine learning projects on a large scale. Chapter 6 ~ 9 introduces exciting… bases in cluster computing using Spark .