Vendeur : Better World Books, Mishawaka, IN, Etats-Unis
Etat : Very Good. Used book that is in excellent condition. May show signs of wear or have minor defects.
Vendeur : Better World Books, Mishawaka, IN, Etats-Unis
Etat : Good. Used book that is in clean, average condition without any missing pages.
EUR 4,43
Quantité disponible : 1 disponible(s)
Ajouter au panierpaperback. Etat : 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!
Vendeur : Bay State Book Company, North Smithfield, RI, Etats-Unis
Etat : very_good.
Vendeur : ThriftBooks-Dallas, Dallas, TX, Etats-Unis
Paperback. Etat : Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Vendeur : ThriftBooks-Atlanta, AUSTELL, GA, Etats-Unis
Paperback. Etat : Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Vendeur : Seattle Goodwill, Seattle, WA, Etats-Unis
EUR 4,34
Quantité disponible : 1 disponible(s)
Ajouter au panierpaperback. Etat : Acceptable.
Vendeur : World of Books (was SecondSale), Montgomery, IL, Etats-Unis
Etat : Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
Vendeur : Better World Books, Mishawaka, IN, Etats-Unis
Etat : Very Good. Used book that is in excellent condition. May show signs of wear or have minor defects.
Paperback. Etat : Good. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.
Vendeur : ThriftBooks-Atlanta, AUSTELL, GA, Etats-Unis
Hardcover. Etat : As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.
Vendeur : WorldofBooks, Goring-By-Sea, WS, Royaume-Uni
EUR 6,24
Quantité disponible : 2 disponible(s)
Ajouter au panierPaperback. Etat : Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Vendeur : WeBuyBooks, Rossendale, LANCS, Royaume-Uni
EUR 9,97
Quantité disponible : 1 disponible(s)
Ajouter au panierEtat : Very Good. Most items will be dispatched the same or the next working day. A copy that has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Vendeur : WeBuyBooks, Rossendale, LANCS, Royaume-Uni
EUR 9,97
Quantité disponible : 1 disponible(s)
Ajouter au panierEtat : Like New. Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind.
Edité par Bahga, Arshdeep, and Madisetti, Vijay, 2016
ISBN 10 : 0996025545 ISBN 13 : 9780996025546
Langue: anglais
Vendeur : West With The Night, Tucson, AZ, Etats-Unis
Edition originale
EUR 17,68
Quantité disponible : 1 disponible(s)
Ajouter au panierHard cover. Sewn binding. Cloth over boards. 544 p. Contains: Unspecified. Audience: General/trade. Fine. excellent condition, first printing, no ownership marks.
EUR 18,72
Quantité disponible : 3 disponible(s)
Ajouter au panierpaperback. Etat : New. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
EUR 23,29
Quantité disponible : 2 disponible(s)
Ajouter au panierEtat : New.
Edité par Packt Publishing 3/29/2019, 2019
ISBN 10 : 183864413X ISBN 13 : 9781838644130
Langue: anglais
Vendeur : BargainBookStores, Grand Rapids, MI, Etats-Unis
EUR 25,64
Quantité disponible : 5 disponible(s)
Ajouter au panierPaperback or Softback. Etat : New. Hands-On Big Data Analytics with PySpark. Book.
Vendeur : The Book Garden, Bountiful, UT, Etats-Unis
EUR 19,50
Quantité disponible : 1 disponible(s)
Ajouter au panierOversized Paperback. Etat : Very Good - Cash. Light reader wear and rubbing to the edges, corners, covers, and pages. The book is in great condition! Stock photos may not look exactly like the book.
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
EUR 23,20
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
EUR 24,90
Quantité disponible : 2 disponible(s)
Ajouter au panierEtat : As New. Unread book in perfect condition.
Edité par Packt Publishing Limited, Birmingham, 2019
ISBN 10 : 183864413X ISBN 13 : 9781838644130
Langue: anglais
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
EUR 32,34
Quantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : new. Paperback. Use PySpark to easily crush messy data at-scale and discover proven techniques to create testable, immutable, and easily parallelizable Spark jobsKey FeaturesWork with large amounts of agile data using distributed datasets and in-memory cachingSource data from all popular data hosting platforms, such as HDFS, Hive, JSON, and S3Employ the easy-to-use PySpark API to deploy big data Analytics for productionBook DescriptionApache Spark is an open source parallel-processing framework that has been around for quite some time now. One of the many uses of Apache Spark is for data analytics applications across clustered computers. In this book, you will not only learn how to use Spark and the Python API to create high-performance analytics with big data, but also discover techniques for testing, immunizing, and parallelizing Spark jobs.You will learn how to source data from all popular data hosting platforms, including HDFS, Hive, JSON, and S3, and deal with large datasets with PySpark to gain practical big data experience. This book will help you work on prototypes on local machines and subsequently go on to handle messy data in production and at scale. This book covers installing and setting up PySpark, RDD operations, big data cleaning and wrangling, and aggregating and summarizing data into useful reports. You will also learn how to implement some practical and proven techniques to improve certain aspects of programming and administration in Apache Spark.By the end of the book, you will be able to build big data analytical solutions using the various PySpark offerings and also optimize them effectively.What you will learnGet practical big data experience while working on messy datasetsAnalyze patterns with Spark SQL to improve your business intelligenceUse PySpark's interactive shell to speed up development timeCreate highly concurrent Spark programs by leveraging immutabilityDiscover ways to avoid the most expensive operation in the Spark API: the shuffle operationRe-design your jobs to use reduceByKey instead of groupByCreate robust processing pipelines by testing Apache Spark jobsWho this book is forThis book is for developers, data scientists, business analysts, or anyone who needs to reliably analyze large amounts of large-scale, real-world data. Whether you're tasked with creating your company's business intelligence function or creating great data platforms for your machine learning models, or are looking to use code to magnify the impact of your business, this book is for you. In this book, you'll learn to implement some practical and proven techniques to improve aspects of programming and administration in Apache Spark. Techniques are demonstrated using practical examples and best practices. You will also learn how to use Spark and its Python API to create performant analytics with large-scale data. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Edité par Packt Publishing Limited, GB, 2019
ISBN 10 : 183864413X ISBN 13 : 9781838644130
Langue: anglais
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
EUR 36,37
Quantité disponible : Plus de 20 disponibles
Ajouter au panierPaperback. Etat : New. Use PySpark to easily crush messy data at-scale and discover proven techniques to create testable, immutable, and easily parallelizable Spark jobsKey FeaturesWork with large amounts of agile data using distributed datasets and in-memory cachingSource data from all popular data hosting platforms, such as HDFS, Hive, JSON, and S3Employ the easy-to-use PySpark API to deploy big data Analytics for productionBook DescriptionApache Spark is an open source parallel-processing framework that has been around for quite some time now. One of the many uses of Apache Spark is for data analytics applications across clustered computers. In this book, you will not only learn how to use Spark and the Python API to create high-performance analytics with big data, but also discover techniques for testing, immunizing, and parallelizing Spark jobs.You will learn how to source data from all popular data hosting platforms, including HDFS, Hive, JSON, and S3, and deal with large datasets with PySpark to gain practical big data experience. This book will help you work on prototypes on local machines and subsequently go on to handle messy data in production and at scale. This book covers installing and setting up PySpark, RDD operations, big data cleaning and wrangling, and aggregating and summarizing data into useful reports. You will also learn how to implement some practical and proven techniques to improve certain aspects of programming and administration in Apache Spark.By the end of the book, you will be able to build big data analytical solutions using the various PySpark offerings and also optimize them effectively.What you will learnGet practical big data experience while working on messy datasetsAnalyze patterns with Spark SQL to improve your business intelligenceUse PySpark's interactive shell to speed up development timeCreate highly concurrent Spark programs by leveraging immutabilityDiscover ways to avoid the most expensive operation in the Spark API: the shuffle operationRe-design your jobs to use reduceByKey instead of groupByCreate robust processing pipelines by testing Apache Spark jobsWho this book is forThis book is for developers, data scientists, business analysts, or anyone who needs to reliably analyze large amounts of large-scale, real-world data. Whether you're tasked with creating your company's business intelligence function or creating great data platforms for your machine learning models, or are looking to use code to magnify the impact of your business, this book is for you.
Edité par Packt Publishing, Limited, 2018
ISBN 10 : 1783554398 ISBN 13 : 9781783554393
Langue: anglais
Vendeur : Better World Books, Mishawaka, IN, Etats-Unis
EUR 39,82
Quantité disponible : 1 disponible(s)
Ajouter au panierEtat : Very Good. Used book that is in excellent condition. May show signs of wear or have minor defects.
Edité par Packt Publishing, Limited, 2018
ISBN 10 : 1783554398 ISBN 13 : 9781783554393
Langue: anglais
Vendeur : Better World Books: West, Reno, NV, Etats-Unis
EUR 39,82
Quantité disponible : 2 disponible(s)
Ajouter au panierEtat : Good. Used book that is in clean, average condition without any missing pages.
Edité par Packt Publishing, Limited, 2018
ISBN 10 : 1783554398 ISBN 13 : 9781783554393
Langue: anglais
Vendeur : Better World Books: West, Reno, NV, Etats-Unis
EUR 39,82
Quantité disponible : 4 disponible(s)
Ajouter au panierEtat : Fine. Used book that is in almost brand-new condition.
Vendeur : GoldBooks, Denver, CO, Etats-Unis
EUR 36,06
Quantité disponible : 1 disponible(s)
Ajouter au panierEtat : new.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 28,18
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New. In.
Edité par Packt Publishing 2019-03-29, 2019
ISBN 10 : 183864413X ISBN 13 : 9781838644130
Langue: anglais
Vendeur : Chiron Media, Wallingford, Royaume-Uni
EUR 25,12
Quantité disponible : 10 disponible(s)
Ajouter au panierPaperback. Etat : New.
EUR 28,01
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.