Big Data Analytics with SAS

Leverage the capabilities of SAS to process and analyze Big Data
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Big Data Analytics with SAS

David Pope

Leverage the capabilities of SAS to process and analyze Big Data
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Book Details

ISBN 139781788290906
Paperback266 pages

Book Description

SAS has been recognized by Money Magazine and Payscale as one of the top business skills to learn in order to advance one’s career. Through innovative data management, analytics, and business intelligence software and services, SAS helps customers solve their business problems by allowing them to make better decisions faster. This book introduces the reader to the SAS and how they can use SAS to perform efficient analysis on any size data, including Big Data.

The reader will learn how to prepare data for analysis, perform predictive, forecasting, and optimization analysis and then deploy or report on the results of these analyses. While performing the coding examples within this book the reader will learn how to use the web browser based SAS Studio and iPython Jupyter Notebook interfaces for working with SAS. Finally, the reader will learn how SAS’s architecture is engineered and designed to scale up and/or out and be combined with the open source offerings such as Hadoop, Python, and R.

By the end of this book, you will be able to clearly understand how you can efficiently analyze Big Data using SAS.

Table of Contents

Chapter 1: Setting Up the SAS Software Environment
What does SAS do?
SAS Studio web-based GUI
Summary
Chapter 2: Working with Data Using SAS Software
Preparing data for analytics
Summary
Chapter 3: Data Preparation Using SAS Data Step and SAS Procedures
Data preparation for analytics
Summary
Chapter 4: Analysis with SAS Software
Analytics
Summary
Chapter 5: Reporting with SAS Software
Reporting
Summary
Chapter 6: Other Programming Languages in BASE SAS Software
The DS2 programming language
The FedSQL programming language
Summary
Chapter 7: SAS Software Engineers the Processing Environment for You
Architecture
Running SAS processing outside the SAS platform
SAS Viya the newest part of the SAS platform
Summary
Chapter 8: Why SAS Programmers Love SAS
Why SAS programmers love SAS
Analytics is a great career
Analytics across industries
Analytics are great for society
References
Summary

What You Will Learn

  • Configure a free version of SAS in order do hands-on exercises dealing with data management, analysis, and reporting.
  • Understand the basic concepts of the SAS language which consists of the data step (for data preparation) and procedures (or PROCs) for analysis.
  • Make use of the web browser based SAS Studio and iPython Jupyter Notebook interfaces for coding in the SAS, DS2, and FedSQL programming languages.
  • Understand how the DS2 programming language plays an important role in Big Data preparation and analysis using SAS
  • Integrate and work efficiently with Big Data platforms like Hadoop, SAP HANA, and cloud foundry based systems.

Authors

Table of Contents

Chapter 1: Setting Up the SAS Software Environment
What does SAS do?
SAS Studio web-based GUI
Summary
Chapter 2: Working with Data Using SAS Software
Preparing data for analytics
Summary
Chapter 3: Data Preparation Using SAS Data Step and SAS Procedures
Data preparation for analytics
Summary
Chapter 4: Analysis with SAS Software
Analytics
Summary
Chapter 5: Reporting with SAS Software
Reporting
Summary
Chapter 6: Other Programming Languages in BASE SAS Software
The DS2 programming language
The FedSQL programming language
Summary
Chapter 7: SAS Software Engineers the Processing Environment for You
Architecture
Running SAS processing outside the SAS platform
SAS Viya the newest part of the SAS platform
Summary
Chapter 8: Why SAS Programmers Love SAS
Why SAS programmers love SAS
Analytics is a great career
Analytics across industries
Analytics are great for society
References
Summary

Book Details

ISBN 139781788290906
Paperback266 pages
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