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Key benefits

Combine SAS with platforms such as Hadoop, SAP HANA, and Cloud Foundry-based platforms for effecient Big Data analytics

Learn how to use the web browser-based SAS Studio and iPython Jupyter Notebook interfaces with SAS

Practical, real-world examples on predictive modeling, forecasting, optimizing and reporting your Big Data analysis with SAS

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.

Who is this book for?

SAS professionals and data analysts who wish to perform analytics on Big Data using SAS to gain actionable insights will find this book to be very useful. If you are a data science professional looking to perform large-scale analytics with SAS, this book will also help you. A basic understanding of SAS will be helpful, but is not mandatory.

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.

What do you get with Print?

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Paperback book shipped to your preferred address

Download this book in EPUB and PDF formats

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Amazon verified reviews

Amazon Customer Jul 31, 2019

Great book

Amazon Verified review

Stephen S. Walker Sep 11, 2018

I thought the book did an excellent job of covering the full spectrum of SAS's capabilities in regards to extracting value from data with SAS. The author covers the full lifecycle of data analytics and walks you through all the steps necessary to complete a successful SAS big data project, even touching on analytics centers of excellence, and industry-specific topics (healthcare, gov, financial, energy, and manufacturing). For big data specifically, especially in the technical realm, there is very good information on things like SAS proc sql, SAS proc hadoop , and other value-added topics like DS2 (data step 2), SAS IML, and reporting. This book is a great option for both beginners, as well as more advanced data analytics practitioners.

Boykin4me Aug 13, 2018

I must confess that I am not a programmer. I picked up David’s book to help me learn SAS programming. I like the tutorial format of the book. I can say that I am much more confident with my SAS programming skills than I was before reading the book. If you are just learning SAS, then this is a great book to start with. I especially like Chapter 4: Analysis with SAS Software whereby David gets into the descriptive and predictive analysis.

Lissa Jun 24, 2018

This book is one of the best on the big data market. I would recommend this to anyone looking for a job in big data or anyone who just wants to learn more about it.

Tamara Jan 28, 2018

SAS has been in the business of analyzing "big" data for decades, long before the term became popular. In this book, David Pope takes a very friendly, step-by-step approach to using SAS analytics with big data. The book steps you through downloading a free version of SAS to setting up your environment to writing your own code for some serious number crunching and analyzing. If you want to get a good solid taste of what SAS is all about, David is well qualified to walk you down that path.

Big Data Analytics with SAS: Get actionable insights from your Big Data using the power of SAS

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