Big Data Analytics with SAS

Big Data Analytics with SAS

by David Pope
English | 2017 | ISBN: 1788290909 | 258 Pages | PDF | 23 MB

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.

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.

Download:

http://longfiles.com/6z7eqp0rose9/Big_Data_Analytics_with_SAS.pdf.html

[Fast Download] Big Data Analytics with SAS


Ebooks related to "Big Data Analytics with SAS" :
Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2017, Part II
Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2017, Part I
Intelligence Science and Big Data Engineering: 7th International Conference
Database and Expert Systems Applications
Electronic Government and the Information Systems Perspective
Big Data Governance: Modern Data Management Principles for Hadoop, NoSQL & Big Data Analytics
Idea Group Publishing Advanced Topics in Database Research Volume 5 May 2006 eBo
Web Semantics for Textual and Visual Information Retrieval
R Data Science Essentials
Querying Microsoft SQL Server 2000 with Transact-SQL. Delivery Guide
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.