Overview
As Big Data Hadoop and MapReduce technology matures to its second decade, it is used as an essential part of the IT infrastructure of nearly half of the Fortune 500, and continues to grow as its performance improves. Small Data is a term that emerged more recently within the past several years as a top new IT technology buzzword. Little Data is an even more recent term related to potential to integrate advanced analytics into Big Data to enhance current Data Science, by leveraging advanced statistical platforms such as provided by SAS. This book provides both basic and complex introduction to Big Data Hadoop and MapReduce, as well as Small Data Federation, and emerging Little Data extensions to include linkages to Android and Arduino platforms.
Full Product Details
Author: Keith Allan Jones Ph D
Publisher: Createspace Independent Publishing Platform
Imprint: Createspace Independent Publishing Platform
Dimensions:
Width: 15.20cm
, Height: 1.00cm
, Length: 22.90cm
Weight: 0.249kg
ISBN: 9781512099003
ISBN 10: 1512099007
Pages: 182
Publication Date: 21 May 2015
Audience:
General/trade
,
General
Format: Paperback
Publisher's Status: Active
Availability: Available To Order
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Author Information
The author currently has 5 SAS V9 Certifications, including: SAS Base Programmer, SAS Statistical Business Analyst-Regression Models, SAS BI Content, SAS Platform Administration, and SAS DI Studio. He has over 30 years of experience as a SAS programmer and analyst, and has benefited from extensive SAS experience as an employee of American Airlines, Nielsen TV Ratings, JC Penney, Pepsi, Pizza Hut, KFC and, Blockbuster, to be a consultant for EPA, FDA, NASA, PHS, SSA, HCFA, CMS, among others. He has written 6 books related to SAS programming, and is currently a Senior SAS Consultant for Health Care, Finance, Operations, Big Data and Little Data Domains. More recently, he worked for Fannie Mae as a SAS architect for teams to develop ETL automation for Big Data submissions of real estate appraisal files with high volumes of financial as well as image data, and at Hewlett-Packard to prototype Hadoop and Vertica for SAS model scoring. Most recently he works as an independent consultant at www.qualimatix.com and is available for short projects. Telecommunications on Social Media mobile CRM technology using SAS. He has worked on design for several related utility patents, and participates in joint ventures and partnerships related to this emerging technologies, especially for apps for Personal Area Networks to Cloud using SAS Data Integration products. He has been an expert witness for several successful U.S. patent filings, and has several personal patents pending including both provisional and non-provisional filings related to the technologies presented in this book.
