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  • Book Overview & Buying Big Data Analytics with SAS
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Big Data Analytics with SAS

Big Data Analytics with SAS

By : Pope
5 (8)
Buy this Book
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Big Data Analytics with SAS

Big Data Analytics with SAS

5 (8)
By: Pope
Buy this Book

Overview of this book

SAS 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.
Table of Contents (17 chapters)
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Title Page
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Title Page
Credits
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Credits
Foreword
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Foreword
About the Author
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About the Author
About the Reviewer
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About the Reviewer
www.PacktPub.com
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www.PacktPub.com
Customer Feedback
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Customer Feedback
Dedication
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Dedication
Preface
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Preface
Free Chapter
1
Setting Up the SAS Software Environment
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Setting Up the SAS Software Environment
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What does SAS do?
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SAS Studio web-based GUI
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Summary
2
Working with Data Using SAS Software
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Working with Data Using SAS Software
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Preparing data for analytics
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Summary
3
Data Preparation Using SAS Data Step and SAS Procedures
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Data Preparation Using SAS Data Step and SAS Procedures
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Data preparation for analytics
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Summary
4
Analysis with SAS Software
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Analysis with SAS Software
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Analytics
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Summary
5
Reporting with SAS Software
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Reporting with SAS Software
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Reporting
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Summary
6
Other Programming Languages in BASE SAS Software
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Other Programming Languages in BASE SAS Software
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The DS2 programming language
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The FedSQL programming language
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Summary
7
SAS Software Engineers the Processing Environment for You
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SAS Software Engineers the Processing Environment for You
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Architecture
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Running SAS processing outside the SAS platform
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SAS Viya the newest part of the SAS platform
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Summary
8
Why SAS Programmers Love SAS
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Why SAS Programmers Love SAS
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Why SAS programmers love SAS
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Analytics is a great career
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Analytics across industries
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Analytics are great for society
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References
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Summary

About the Reviewer

Ruben Oliva Ramos is a computer systems engineer from Tecnologico de Leon Institute, with a master's degree in computer and electronic systems engineering, teleinformatics, and networking specialization from the University of Salle Bajio in Leon, Guanajuato, Mexico. He has more than 5 years of experience in developing web applications to control and monitor devices connected with Arduino and Raspberry Pi, using web frameworks and cloud services to build Internet of Things applications.

He is a mechatronics teacher at the University of Salle Bajio and teaches students of the master's degree in design and engineering of mechatronics systems. Ruben also works at Centro de Bachillerato Tecnologico Industrial 225 in Leon, Guanajuato, Mexico, teaching subjects such as electronics, robotics and control, automation, and microcontrollers at Mechatronics Technician Career; he is a consultant and developer for projects in areas such as monitoring systems and datalogger data using technologies (such as Android, iOS, Windows Phone, HTML5, PHP, CSS, Ajax, JavaScript, Angular, and ASP.NET), databases (such as SQlite, MongoDB, and MySQL), web servers (such as Node.js and IIS), hardware programming (such as Arduino, Raspberry Pi, Ethernet Shield, GPS, and GSM/GPRS, ESP8266), and control and monitoring systems for data acquisition and programming.

He is the author of these books for Packt:

  • Internet of Things Programming with JavaScript
  • Advanced Analytics with R and Tableau
  • Raspberry Pi 3 Home Automation Projects

He is also involved in monitoring, controlling, and acquiring data with Arduino and Visual Basic .NET for Alfaomega.

 

 

I would like to thank my savior and lord, Jesus Christ, for giving me the strength and courage to pursue this project; to my dearest wife, Mayte; our two lovely sons, Ruben and Dario; my dear father, Ruben; my dearest mom Rosalia; my brother (Juan Tomas; and my sister, Rosalia, whom I love, for all their support while reviewing this book, for allowing me to pursue my dream, and tolerating me not being with them after my busy day. I'm very grateful to Packt Publishing for giving the opportunity to collaborate as an author and reviewer, to belong to this honest and professional team.

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