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© 2018

Oracle Business Intelligence with Machine Learning

Artificial Intelligence Techniques in OBIEE for Actionable BI

  • Focuses on implementing machine learning models with OBIEE

  • Practical hands-on approach to machine learning and how it pertains to business intelligence

  • Relating theory to actual practice

Book

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Rosendo Abellera, Lakshman Bulusu
    Pages 1-10
  3. Rosendo Abellera, Lakshman Bulusu
    Pages 11-21
  4. Rosendo Abellera, Lakshman Bulusu
    Pages 23-98
  5. Rosendo Abellera, Lakshman Bulusu
    Pages 99-106
  6. Rosendo Abellera, Lakshman Bulusu
    Pages 107-133
  7. Rosendo Abellera, Lakshman Bulusu
    Pages 135-193
  8. Back Matter
    Pages 195-198

About this book

Introduction

Use machine learning and Oracle Business Intelligence Enterprise Edition (OBIEE) as a comprehensive BI solution. This book follows a when-to, why-to, and how-to approach to explain the key steps involved in utilizing the artificial intelligence components now available for a successful OBIEE implementation. Oracle Business Intelligence with Machine Learning covers various technologies including using Oracle OBIEE, R Enterprise, Spatial Maps, and machine learning for advanced visualization and analytics. 

The machine learning material focuses on learning representations of input data suitable for a given prediction problem. This book focuses on the practical aspects of implementing machine learning solutions using the rich Oracle BI ecosystem. The primary objective of this book is to bridge the gap between the academic state-of-the-art and the industry state-of-the-practice by introducing you to machine learning with OBIEE. 

You will:
  • See machine learning in OBIEE 
  • Master the fundamentals of machine learning and how it pertains to BI and advanced analytics 
  • Gain an introduction to Oracle R Enterprise
  • Discover the practical considerations of implementing machine learning with OBIEE

Keywords

Machine Learning Artificial Intelligence Oracle Business Intelligence Enterprise Edition Big Data Cloud Computing Business Intelligence R

Authors and affiliations

  1. 1.Aetna St. TarzanaUSA
  2. 2.PricetonUSA

About the authors

Rosendo Abellera : 
From his beginnings in the US intelligence community more than 25 years ago, Rosendo Abellera has made a life-long career out of utilizing data and information as a critical asset. Coupled with his extensive experience in software, he has become an expert practitioner in the field of business intelligence (BI) and analytics and one of the most experienced practitioners in the industry. As a pioneer in BI, he architected analytical solutions and consulted to some prominent, recognized organizations through the years. Spanning across a multitude of industries, this list includes AAA, Accenture, Comcast, US Department of Interior (DOI), ESPN, Harvard University, John Hancock Financial, Koch Industries, Mercury Systems, Pfizer, Staples, and State Street Corp., for example. Moreover, he has held key management positions to establish the BI practices of several prominent consulting firms and also founded an Oracle Partner firm specializing in what was then the newly-branded OBIEE. He is currently a consultant in the Analytics Practice of Mythics Consulting, a leading Oracle Platinum Partner. 

Rosendo is a veteran of the US Air Force and the National Security Agency (NSA) where he served in Europe and Asia as a cryptologist and linguist for several languages.

Lakshman Bulusu is a Senior Oracle Consultant with 23 years of experience in the fields of Oracle RDBMS, SQL, PL/SQL, EDW/BI/EPM, and Oracle-related Java. As an Enterprise-level data warehouse, and business intelligence solution architect/technical manager in the ORACLE RDBMS space, he focused on a best-fit solution architecture and implementation of the Oracle Industry Data Model for telecom. He has worked for major clients in the pharma/healthcare, telecom, financial (banking), retail, and media industry verticals, with special emphasis on cross-platform heterogeneous information architecture and design. 
He has published eight books on Oracle and related technologies, all published in the United States, as well as four books on English poetry. He serves on the development team of qteria.com and Qteria Big Data Analytics. Bulusu is OCPcertified and holds an Oracle Masters credential. He was selected as a FOCUS Expert for his research briefs titled "Raising your ‘SIQ’ (Social Intelligence Quotient): 5 Key Business Indicators," "Raising your ‘BIQ’ (Business Intelligence Quotient): 5 Things Your Company Can Do NOW," and "High- Fives for an Innovative HR Strategy" on FOCUS.com. He has written a host of technical articles and spoken at major Oracle conferences in the United States and abroad.

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