Javier luraschi (21 risultati)

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Paperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

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Condizione: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.

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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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EUR 35,03
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Condizione: New.

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Da: Lakeside Books, Benton Harbor, MI, U.S.A.Lakeside Books
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Condizione: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books.

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EUR 38,49
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Paperback or Softback. Condizione: New. Mastering Spark with R: The Complete Guide to Large-Scale Analysis and Modeling. Book.

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Da: Rarewaves USA, HEBRON, KY, U.S.A.Rarewaves USA
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EUR 39,38
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
Paperback. Condizione: 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 applicatio…ns 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.

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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 39,84
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Condizione: As New. Unread book in perfect condition.

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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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EUR 41,76
EUR 5,87 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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EUR 58,62
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Paperback. Condizione: 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… 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 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.

- Brossura
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 41,20
EUR 17,53 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Condizione: New.

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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 46,62
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Condizione: As New. Unread book in perfect condition.

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Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 45,73
EUR 18,87 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.

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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 55,50
EUR 14,60 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Paperback. Condizione: Brand New. 250 pages. 9.00x7.00x0.75 inches. In Stock.

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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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EUR 57,67
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Condizione: New. In English.

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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 63,41
EUR 9,50 spedizioneSpedito da Irlanda a U.S.A.Quantità: 1 disponibili
Condizione: New. 2019. Paperback. . . . . .

- Brossura
Da: Rarewaves USA United, HEBRON, KY, U.S.A.Rarewaves USA United
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 41,21
EUR 43,15 spedizioneSpedito in U.S.A.Quantità: Più di 20 disponibili
Paperback. Condizione: 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 applicatio…ns 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.

- Brossura
Da: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 77,39
EUR 9,06 spedizioneSpedito in U.S.A.Quantità: 1 disponibili
Condizione: New. 2019. Paperback. . . . . . Books ship from the US and Ireland.

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Da: moluna, Greven, Germaniamoluna
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 44,53
EUR 48,99 spedizioneSpedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Kartoniert / Broschiert. Condizione: 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.

- Brossura
Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 77,08
EUR 31,93 spedizioneSpedito da Australia a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: 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… 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 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.

- Brossura
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 57,00
EUR 62,63 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: 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 dat…a 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 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
- Brossura
Da: liu xing, Nanjing, JS, Cinaliu xing
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 109,84
EUR 15,53 spedizioneSpedito da Cina a U.S.A.Quantità: 5 disponibili
paperback. Condizione: 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 excit…ing bases in cluster computing using Spark .