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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

Chapter 2. Working with Data Using SAS® Software

Data can be stored in many forms and in many systems. In  Chapter 1, Setting Up the SAS® Software Environment, the topic of SAS data storage was covered from a SAS-centric view, meaning the options available to a user in storing data in SAS datasets. However, SAS can work and store data in a variety of other forms and formats. One of the most powerful features of SAS lies within the data management capabilities designed to read and, more importantly, write data efficiently from all sorts of storage, including database systems, flat files, spreadsheets, mainframe-based formats, and big data storage platforms such as Hadoop and SAP HANA. SAS developers work in partnership with many other vendors in co-developing SAS ACCESS engines, specifically designed to make reading and writing data from their systems as fast and seamless as possible. As a result, SAS data management solutions are used by many customers as a bridge to consolidate and/or share...

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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