Oracle Business Intelligence with Machine Learning

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

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

Autorentext
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 wasthen 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 haspublished 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.

Inhalt
Chapter 1: Overview of Machine Learning.- Chapter 2: Business Intelligence, Big Data, and Cloud Computing.- Chapter 3: The Oracle R Technologies and R Enterprise.- Chapter 4: Why Machine Learning with OBIEE Now.- Chapter 5: Use Case: Machine Learning in OBIEE 12c.- Chapter 6: Implementing Machine Learning in OBIEE 12c