Book Image

Big Data Analytics with SAS

Book Image

Big Data Analytics with SAS

Overview of this book

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 (17 chapters)

Summary


You learned how to perform some descriptive analysis using the following BASE SAS statistical procedures: FREQ, CORR, and UNIVARIATE. You were also introduced to performing predictive analysis using PROC REG and learned some techniques used by data scientists to improve the predictive power of a model.

You learned how to prepare time series data for further analysis using PROC TIMEDATA and how to do a basic forecast using PROC ARIMA. You also learned a way in which SAS can work with the R programming language and how to check if their SAS environment is configured properly to allow this interaction to occur. Finally, you learned about optimization and performed an optimization analysis using PROC IML

In the next chapter, you will be introduced to some of the capabilities within SAS to produce reports.