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Big Data Analytics with SAS

You're reading from   Big Data Analytics with SAS Get actionable insights from your Big Data using the power of SAS

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Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781788290906
Length 266 pages
Edition 1st Edition
Tools
Concepts
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Author (1):
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David Pope David Pope
Author Profile Icon David Pope
David Pope
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Table of Contents (17) Chapters Close

Title Page
Credits
Foreword
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Dedication
Preface
1. Setting Up the SAS Software Environment 2. Working with Data Using SAS Software FREE CHAPTER 3. Data Preparation Using SAS Data Step and SAS Procedures 4. Analysis with SAS Software 5. Reporting with SAS Software 6. Other Programming Languages in BASE SAS Software 7. SAS Software Engineers the Processing Environment for You 8. Why SAS Programmers Love SAS

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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