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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

Product type Paperback

Published in Nov 2017

Publisher Packt

ISBN-13 9781788290906

Length 266 pages

Edition 1st Edition

Tools

SAS

Concepts

Big Data

Author (1):

David Pope

View More author details

Table of Contents (17) Chapters

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

SAS Viya the newest part of the SAS platform

SAS Viya is the newest part of the SAS platform and is based on microservices. As mentioned previously in this chapter the core of this SAS Viya architecture is the CAS. SAS developers have not only rewritten procedures to take advantage of this new architecture but also continued to develop new and improved procedures. SAS Viya has been designed to be cloud ready, meaning it integrates and operates within a variety of the cloud platforms available in the market today. SAS has been rolling out new offerings on SAS Viya, and this microservices-based architecture allows three different deployment options:

Full deployment (both programming and visual interfaces): This is the default option
Programming-only deployment: This excludes general services and visual interfaces
Visual-only deployment: This excludes SAS Studio and most SAS programming functionality

To further integrate SAS with other systems and programming languages, SAS Viya supports APIs aimed...

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Authors (1)

Pope

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.

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