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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 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

Summary


The reader learned that data must be stored in a different format in order for analytics to efficiently run, and that this format differs from how data is typically stored in a database. In addition, the reader learned how to make data using SAS statements, as well as how to bring external data into the SAS environment.

The reader should now understand that a SAS library is a pointer to where data is stored, whether the data is stored as a SAS dataset or in some other data storage format such as a database. The reader wrote and executed their first SAS programs, making use of both data step statements and a few BASE SAS procedures. At this point, the reader should be comfortable with working with the CODE, LOG, RESULTS, and other sections that make up a program section within SAS Studio.

In addition, you were introduced to several specialty SAS procedures or PROCs, which enable a programmer to more easily work with specific external data sources or other computer languages.

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You have been reading a chapter from
Big Data Analytics with SAS
Published in: Nov 2017
Publisher: Packt
ISBN-13: 9781788290906
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