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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 FREE CHAPTER 2. Working with Data Using SAS Software 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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