Is Hadoop Appropriate for Operational Customer Applications?

Hadoop has become a very popular platform for managing Big Data. It certainly has strengths in terms of handling many different types of data, including data that is sparsely populated across tables. In fact, many organizations are considering it for use with a variety of applications, one of those being the creation of operational customer databases. However, care should be taken to ensure that the type of platform used for operational customer supports the performance characteristics of that type of environment. This session will explore ways in which Hadoop may play a role in meeting operational customer needs, including alternatives such as a hybrid mode.

Attendees will learn about:

The typical data management and performance requirements of an operational customer system
Why Hadoop might be considered for these types of applications, and where it may or may not be used appropriately
Using Hadoop in a hybrid mode

Michael M. Ott is a Senior Vice President of Innovative Systems, Inc. (ISI), an international provider of leading data quality, MDM, data governance, and AML compliance solutions. Mr. Ott has extensive experience in executive management, marketing, business development, product management, and management of software development. He currently oversees marketing, product management, and partners for Innovative Systems. For more than 25 years, Mr. Ott has been involved in managing the delivery of consulting, software, and professional services to some of the largest companies in the world and has spoken at numerous events on topics related to achieving and maintaining effective data management and data governance for better business results. Mr. Ott received a Bachelor of Economics degree from Allegheny College and a Master of Business Administration degree from the University of Pittsburgh with a dual concentration in Marketing and Information Systems.