Big Data Analytics with SAS
Pope, David
Sold by World of Books (was SecondSale), Montgomery, IL, U.S.A.
AbeBooks Seller since 20 December 2007
Used - Soft cover
Condition: Used - Good
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Quantity: 1 available
Add to basketSold by World of Books (was SecondSale), Montgomery, IL, U.S.A.
AbeBooks Seller since 20 December 2007
Condition: Used - Good
Quantity: 1 available
Add to basketItem in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
Seller Inventory # 00087194972
Leverage the capabilities of SAS to process and analyze Big Data
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.
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.
The book starts off by introducing the reader to SAS and the SAS programming language which provides data management, analytical, and reporting capabilities. Most chapters include hands on examples which highlights how SAS provides The Power to Knowİ. The reader will learn that if they are looking to perform large-scale data analysis that SAS provides an open platform engineered and designed to scale both up and out which allows the power of SAS to combine with open source offerings such as Hadoop, Python, and R.
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