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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

Chapter 6. Other Programming Languages in BASE SAS^® Software

When processing big data where it is stored, the data does not have to be copied or moved across the network. The DS2 language, which is another proprietary SAS programming language included in BASE SAS, plays an important and vital role in the processing of data where it is stored. This is especially true in cases where SAS data step logic can be transformed into DS2, which allows that logic to run in environments where DS2 is supported and the SAS data step is not. The processing environments that are most important with respect to supporting DS2 in the big data analytics space are SAS® Viya™ and the Cloud Analytics Server (CAS), the SAS Embedded Process, and the SAS Event Stream Processing (ESP) engine. All of these will be discussed in more detail in Chapter 7, SAS^® Software Engineers the Processing Environment for You. In addition, similar to DS2, the Federated SQL or FedSQL language was added to BASE SAS, and it plays a role...

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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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