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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)
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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 Author

 David Pope

David Pope has worked for SAS for over 26 years in a variety of departments, including research and development (R&D), information technology (IT), SAS Solutions on Demand (SSOD), and sales and marketing.  He graduated from North Carolina State University with a bachelor's of science in industrial engineering and a certificate in computer programming. He started his career with SAS, testing and writing code for the SAS system in R&D using C, Java, and of course SAS programming languages.

David has worked in both the United States and Europe in this capacity.  Then he moved into IT within SAS to help support running it as a business, using SAS and other technologies such as JavaScript, HTML, and Unix/Linux scripting languages. He spent 4 years working as a consultant with SAS customers in SSOD prior to moving into presales support, where he worked across all industries as an analytics and SAS architecture expert. David moved into presales management to build out a team of data scientists and technical architects who support opportunities in the US energy industry, electric utilities, and oil and gas companies. He currently holds 10 patents for SAS and is an active blogger under the SASVoices corporate blog. He is a life-long learner who enjoys teaching and empowering people to solve business problems.

 

I would like to recognize all the developers who have worked on SAS, without whom this book would not have been possible to write. There are too many individuals to list here whom I have learned from over the course of my career, and they have in one way or another way influenced what is in this book. However, I'd like to recognize Brian Jones for his specific help in using his graphic art skills to greatly improve the visual presentations of several of my ideas that are included in this book.

 

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