Big Data Analytics with SAS: Get actionable insights from your Big Data using the power of SAS by David Pope
English | 23 Nov. 2017 | ISBN: 1788290909 | 266 Pages | EPUB | 5.98 MB

Leverage the capabilities of SAS to process and analyze Big DataAbout This BookCombine SAS with platforms such as Hadoop, SAP HANA, and Cloud Foundry-based platforms for effecient Big Data analyticsLearn how to use the web browser-based SAS Studio and iPython Jupyter Notebook interfaces with SASPractical, real-world examples on predictive modeling, forecasting, optimizing and reporting your Big Data analysis with SASWho This Book Is ForSAS 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 LearnConfigure 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…his 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.Style and approachThe 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 Know©. 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.

Download

http://nitroflare.com/view/A6452C6B9293BE4/1788290909.epub

or

https://rapidgator.net/file/beaf7600822c9cecb26cd550883df9e2/1788290909.epub.html