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)

Analytics is a great career


This book's primary focus has been to provide the reader with an introduction to becoming a SAS programmer who will be able to do big data analytics with SAS. However, it is just as important for the reader to understand that to be truly successful at performing big data analytics, it will take more than one individual to achieve big results. It can start with just one programmer, but it will require a team of people with different skill sets that complement each other to change an organization's culture to use analytics. It will benefit you, your team, and your organization to take up this challenge because some of the benefits that can be achieved by implementing analytics help organizations to do the following:

  • Derive a competitive advantage
  • Solve problems that have never successfully been solved previously
  • Help derive new questions that drive innovation throughout an organization

As such, it is important to understand how one can champion analytics and help advocate...