Publicado por Packt Publishing (edition ), 2017
ISBN 10: 1788290909 ISBN 13: 9781788290906
Idioma: Inglés
Librería: BooksRun, Philadelphia, PA, Estados Unidos de America
EUR 29,15
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Añadir al carritoPaperback. Condición: 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. International edition.
Publicado por Packt Publishing, Limited, 2017
ISBN 10: 1788290909 ISBN 13: 9781788290906
Idioma: Inglés
Librería: Better World Books, Mishawaka, IN, Estados Unidos de America
EUR 32,06
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Añadir al carritoCondición: Very Good. Used book that is in excellent condition. May show signs of wear or have minor defects.
Librería: World of Books (was SecondSale), Montgomery, IL, Estados Unidos de America
EUR 40,06
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Añadir al carritoCondición: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
EUR 43,67
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Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 42,48
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Librería: California Books, Miami, FL, Estados Unidos de America
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EUR 49,28
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Publicado por Packt Publishing Limited, GB, 2023
ISBN 10: 1788290909 ISBN 13: 9781788290906
Idioma: Inglés
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
EUR 59,83
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Añadir al carritoDigital. Condición: New. Leverage the capabilities of SAS to process and analyze Big DataAbout This Book. Combine SAS with platforms such as Hadoop, SAP HANA, and Cloud Foundry-based platforms for effecient Big Data analytics. Learn how to use the web browser-based SAS Studio and iPython Jupyter Notebook interfaces with SAS. Practical, real-world examples on predictive modeling, forecasting, optimizing and reporting your Big Data analysis with SASWho This Book Is ForSAS professionals and data analysts who wish to perform analytics on Big Data using SAS to gain actionable insights will find this book to be very useful. If you are a data science professional looking to perform large-scale analytics with SAS, this book will also help you. A basic understanding of SAS will be helpful, but is not mandatory.What You Will Learn. Configure a free version of SAS in order do hands-on exercises dealing with data management, analysis, and reporting. Understand the basic concepts of the SAS language which consists of the data step (for data preparation) and procedures (or PROCs) for analysis. Make use of the web browser based SAS Studio and iPython Jupyter Notebook interfaces for coding in the SAS, DS2, and FedSQL programming languages. Understand how the DS2 programming language plays an important role in Big Data preparation and analysis using SAS. Integrate and work efficiently with Big Data platforms like Hadoop, SAP HANA, and cloud foundry based systems.In DetailSAS has been recognized by Money Magazine and Payscale as one of the top business skills to learn in order to advance one's career. Through innovative data management, analytics, and business intelligence software and services, SAS helps customers solve their business problems by allowing them to make better decisions faster. This book introduces the reader to the SAS and how they can use SAS to perform efficient analysis on any size data, including Big Data.The reader will learn how to prepare data for analysis, perform predictive, forecasting, and optimization analysis and then deploy or report on the results of these analyses. While performing the coding examples within this book the reader will learn how to use the web browser based SAS Studio and iPython Jupyter Notebook interfaces for working with SAS. Finally, the reader will learn how SAS's architecture is engineered and designed to scale up and/or out and be combined with the open source offerings such as Hadoop, Python, and R.By the end of this book, you will be able to clearly understand how you can efficiently analyze Big Data using SAS.Style and approachThe book starts off by introducing the reader to SAS and the SAS programming language which provides data management, analytical, and reporting capabilities. Most chapters include hands on examples which highlights how SAS provides The Power to Know©. The reader will learn that if they are looking to perform large-scale data analysis that SAS provides an open platform engineered and designed to scale both.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 47,64
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Publicado por Packt Publishing 2017-11-23, 2017
ISBN 10: 1788290909 ISBN 13: 9781788290906
Idioma: Inglés
Librería: Chiron Media, Wallingford, Reino Unido
EUR 45,59
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EUR 47,63
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Publicado por Packt Publishing Limited, GB, 2023
ISBN 10: 1788290909 ISBN 13: 9781788290906
Idioma: Inglés
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 68,89
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Añadir al carritoDigital. Condición: New. Leverage the capabilities of SAS to process and analyze Big DataAbout This Book. Combine SAS with platforms such as Hadoop, SAP HANA, and Cloud Foundry-based platforms for effecient Big Data analytics. Learn how to use the web browser-based SAS Studio and iPython Jupyter Notebook interfaces with SAS. Practical, real-world examples on predictive modeling, forecasting, optimizing and reporting your Big Data analysis with SASWho This Book Is ForSAS professionals and data analysts who wish to perform analytics on Big Data using SAS to gain actionable insights will find this book to be very useful. If you are a data science professional looking to perform large-scale analytics with SAS, this book will also help you. A basic understanding of SAS will be helpful, but is not mandatory.What You Will Learn. Configure a free version of SAS in order do hands-on exercises dealing with data management, analysis, and reporting. Understand the basic concepts of the SAS language which consists of the data step (for data preparation) and procedures (or PROCs) for analysis. Make use of the web browser based SAS Studio and iPython Jupyter Notebook interfaces for coding in the SAS, DS2, and FedSQL programming languages. Understand how the DS2 programming language plays an important role in Big Data preparation and analysis using SAS. Integrate and work efficiently with Big Data platforms like Hadoop, SAP HANA, and cloud foundry based systems.In DetailSAS has been recognized by Money Magazine and Payscale as one of the top business skills to learn in order to advance one's career. Through innovative data management, analytics, and business intelligence software and services, SAS helps customers solve their business problems by allowing them to make better decisions faster. This book introduces the reader to the SAS and how they can use SAS to perform efficient analysis on any size data, including Big Data.The reader will learn how to prepare data for analysis, perform predictive, forecasting, and optimization analysis and then deploy or report on the results of these analyses. While performing the coding examples within this book the reader will learn how to use the web browser based SAS Studio and iPython Jupyter Notebook interfaces for working with SAS. Finally, the reader will learn how SAS's architecture is engineered and designed to scale up and/or out and be combined with the open source offerings such as Hadoop, Python, and R.By the end of this book, you will be able to clearly understand how you can efficiently analyze Big Data using SAS.Style and approachThe book starts off by introducing the reader to SAS and the SAS programming language which provides data management, analytical, and reporting capabilities. Most chapters include hands on examples which highlights how SAS provides The Power to Know©. The reader will learn that if they are looking to perform large-scale data analysis that SAS provides an open platform engineered and designed to scale both.
EUR 53,70
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Publicado por Packt Publishing Limited, GB, 2023
ISBN 10: 1788290909 ISBN 13: 9781788290906
Idioma: Inglés
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
EUR 61,76
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Añadir al carritoDigital. Condición: New. Leverage the capabilities of SAS to process and analyze Big DataAbout This Book. Combine SAS with platforms such as Hadoop, SAP HANA, and Cloud Foundry-based platforms for effecient Big Data analytics. Learn how to use the web browser-based SAS Studio and iPython Jupyter Notebook interfaces with SAS. Practical, real-world examples on predictive modeling, forecasting, optimizing and reporting your Big Data analysis with SASWho This Book Is ForSAS professionals and data analysts who wish to perform analytics on Big Data using SAS to gain actionable insights will find this book to be very useful. If you are a data science professional looking to perform large-scale analytics with SAS, this book will also help you. A basic understanding of SAS will be helpful, but is not mandatory.What You Will Learn. Configure a free version of SAS in order do hands-on exercises dealing with data management, analysis, and reporting. Understand the basic concepts of the SAS language which consists of the data step (for data preparation) and procedures (or PROCs) for analysis. Make use of the web browser based SAS Studio and iPython Jupyter Notebook interfaces for coding in the SAS, DS2, and FedSQL programming languages. Understand how the DS2 programming language plays an important role in Big Data preparation and analysis using SAS. Integrate and work efficiently with Big Data platforms like Hadoop, SAP HANA, and cloud foundry based systems.In DetailSAS has been recognized by Money Magazine and Payscale as one of the top business skills to learn in order to advance one's career. Through innovative data management, analytics, and business intelligence software and services, SAS helps customers solve their business problems by allowing them to make better decisions faster. This book introduces the reader to the SAS and how they can use SAS to perform efficient analysis on any size data, including Big Data.The reader will learn how to prepare data for analysis, perform predictive, forecasting, and optimization analysis and then deploy or report on the results of these analyses. While performing the coding examples within this book the reader will learn how to use the web browser based SAS Studio and iPython Jupyter Notebook interfaces for working with SAS. Finally, the reader will learn how SAS's architecture is engineered and designed to scale up and/or out and be combined with the open source offerings such as Hadoop, Python, and R.By the end of this book, you will be able to clearly understand how you can efficiently analyze Big Data using SAS.Style and approachThe book starts off by introducing the reader to SAS and the SAS programming language which provides data management, analytical, and reporting capabilities. Most chapters include hands on examples which highlights how SAS provides The Power to Know©. The reader will learn that if they are looking to perform large-scale data analysis that SAS provides an open platform engineered and designed to scale both.
EUR 55,44
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Publicado por Packt Publishing - ebooks Account, 2017
ISBN 10: 1788290909 ISBN 13: 9781788290906
Idioma: Inglés
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 85,48
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Añadir al carritoPaperback. Condición: New. New. book.
Publicado por Packt Publishing Limited, GB, 2023
ISBN 10: 1788290909 ISBN 13: 9781788290906
Idioma: Inglés
Librería: Rarewaves.com UK, London, Reino Unido
EUR 63,77
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Añadir al carritoDigital. Condición: New. Leverage the capabilities of SAS to process and analyze Big DataAbout This Book. Combine SAS with platforms such as Hadoop, SAP HANA, and Cloud Foundry-based platforms for effecient Big Data analytics. Learn how to use the web browser-based SAS Studio and iPython Jupyter Notebook interfaces with SAS. Practical, real-world examples on predictive modeling, forecasting, optimizing and reporting your Big Data analysis with SASWho This Book Is ForSAS professionals and data analysts who wish to perform analytics on Big Data using SAS to gain actionable insights will find this book to be very useful. If you are a data science professional looking to perform large-scale analytics with SAS, this book will also help you. A basic understanding of SAS will be helpful, but is not mandatory.What You Will Learn. Configure a free version of SAS in order do hands-on exercises dealing with data management, analysis, and reporting. Understand the basic concepts of the SAS language which consists of the data step (for data preparation) and procedures (or PROCs) for analysis. Make use of the web browser based SAS Studio and iPython Jupyter Notebook interfaces for coding in the SAS, DS2, and FedSQL programming languages. Understand how the DS2 programming language plays an important role in Big Data preparation and analysis using SAS. Integrate and work efficiently with Big Data platforms like Hadoop, SAP HANA, and cloud foundry based systems.In DetailSAS has been recognized by Money Magazine and Payscale as one of the top business skills to learn in order to advance one's career. Through innovative data management, analytics, and business intelligence software and services, SAS helps customers solve their business problems by allowing them to make better decisions faster. This book introduces the reader to the SAS and how they can use SAS to perform efficient analysis on any size data, including Big Data.The reader will learn how to prepare data for analysis, perform predictive, forecasting, and optimization analysis and then deploy or report on the results of these analyses. While performing the coding examples within this book the reader will learn how to use the web browser based SAS Studio and iPython Jupyter Notebook interfaces for working with SAS. Finally, the reader will learn how SAS's architecture is engineered and designed to scale up and/or out and be combined with the open source offerings such as Hadoop, Python, and R.By the end of this book, you will be able to clearly understand how you can efficiently analyze Big Data using SAS.Style and approachThe book starts off by introducing the reader to SAS and the SAS programming language which provides data management, analytical, and reporting capabilities. Most chapters include hands on examples which highlights how SAS provides The Power to Know©. The reader will learn that if they are looking to perform large-scale data analysis that SAS provides an open platform engineered and designed to scale both.
Publicado por Packt Publishing Limited, 2017
ISBN 10: 1788290909 ISBN 13: 9781788290906
Idioma: Inglés
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
EUR 54,88
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Publicado por Packt Publishing Limited, 2017
ISBN 10: 1788290909 ISBN 13: 9781788290906
Idioma: Inglés
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 49,92
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Añadir al carritoPAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Publicado por Packt Publishing Limited, 2017
ISBN 10: 1788290909 ISBN 13: 9781788290906
Idioma: Inglés
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 55,16
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Añadir al carritoPaperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 526.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 65,78
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.