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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
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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

Running SAS processing outside the SAS platform


In order to save time and resources, and to solve problems as quickly as possible, analytics must be implemented outside traditional data storage systems or analytical processing environments. 

The SAS Embedded Process 

This is what led SAS to develop in-database and in-memory processing technologies, which were discussed earlier in this chapter. The SASEP is the underlying technology that enables in-database processing, and plays a key role in supporting in-memory solutions by prepping, transforming, and lifting data into memory. As the SASEP is more of an enabling technology, programmers make use of it once it has been installed and configured by an administrator or technical architecture. For more details of all the solutions that rely on the SASEP, see the following SAS documentation:  SAS® 9.4 and SAS Viya 3.2 Programming Documentation / In-Database Products: Administrator's Guide - SAS® 9.4 In-Database Products: Administrator's Guide...

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