Don Sullivan, Avinash Nayak, and Michael Corey

Don Sullivan is a VMware database specialist systems engineer and solution architect for North America. For over 19 years, Sullivan has worked with relational databases. He is one of the original Oracle certified masters and helped create the Oracle certified masters practicum. Sullivan has presented all over the world and is a frequent speaker at VMworld, Oracle OpenWorld, EMC World, VMUGs, and OAUG events.

Avinash NayakVMware product marketing manager, Tier 1 Application, focuses on virtualization of Tier 1 applications like Oracle, Microsoft SQL Server and the associated middleware. His previous experience includes Cisco, where he was part of the business intelligence team working on predictive analytics models, and PayPal, where he was part of the marketing analytics team. Nayak has been a frequent speaker at VMworld, VMUGs, and vForums. 

Michael Corey, founder of Ntirety, is a frequent speaker at technology conferences throughout the world. He is anVMware vExpert, Oracle ACE, and is on the Talkin’ Cloud 200 Computing Executives and Experts List. Corey is a past president of the IOUG; he helped found the Professional Association of SQL Server. He is also a frequent blogger for Database Trends & Applications. He written numerous articles and books published on topics as Microsoft SQL Server to Tuning Oracle.

Articles by Don Sullivan, Avinash Nayak, and Michael Corey

A Call to Action and the American Pastime: Data

Posted August 07, 2013

Data Persona Analytics: The Data-Application Matchmaker

Posted July 25, 2013

21st Century Data Organization - Business Function Comes First

Posted July 09, 2013

The amount of data being generated, captured and analyzed worldwide is increasing at a rate that was inconceivable a few years ago. Exciting new technologies and methodologies are evolving to address this phenomenon of science and culture creating huge new opportunities. These new technologies are also fundamentally changing the way we look at and use data. The rush to monetize "big data" makes the appeal of various "solutions" undeniable.

Posted June 27, 2013