The curious case of data lake redemption

Tuesday, June 19
2:00 PM - 2:40 PM
Meeting Room 230A

Reverse aging has been a subject of ambiguity and curiosity amongst Hollywood and in the flights of fantasies of Fitzgerald. Hadoop at Verizon Wireless has been a interesting case study, both from a scale and adoption perspective. Technology adoption typically follows a linear progressive curve with time comprising of feature additions, bug fixes, upgrades, etc. In this case study we examine a case of Hadoop adoption that oscillates in a space-time continuum exhibiting characteristics of traditional growth patterns in addition to reverse aging.

The use case highlights the factors, causes, and impacts that can cause such a extraordinary phenomenon to be commonplace in any environment. The conditions leading to this phenomena might vary for different use cases, industries, and environments. This use case discusses and highlights the technical aspects leading to the ultimate path to technical redemption, which in turn engineers a well designed and performance tuned infrastructure for continuous productivity.


Shivinder Singh
Distinguished Member Technical Staff
Shivinder Singh is a Senior Big Data Enterprise Architect . His focus has been on building systems Infrastructure for mission critical buisness applications, his work concentrates on maximizing the return on assets for the database portfolio. This involves developing an set of best practices in database strategy and Infrastructure life cycle management, covering B2B, B2C and B2E arenas. His work on strategy is centered on the major theme of consolidation, integration while focusing on Total Cost of Ownership, the critically important discipline of Infrastructure Maintenance and the need for strong application design. Having a sharp focus on innovation his work has resulted in four patents which are currently being processed at USPTO. Singh is a frequent speaker at various technology and executive conferences.