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


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.

In Chapter...