RETHINKING ARCHITECTURAL MODELS WITH HIGH VALUE APPROXIMATION
All analysts and associated industry projections suggest the rate at which data volumes will grow continues to pick up momentum. While it may seem we are splitting at the seams now, projections suggest we are on the cusp of hitting the wall with current architectural models with no end in sight. When gaining insight from the data is a function of one or more complex queries, simply applying more hardware and more people becomes unfeasible.
In this presentation, Infobright CEO Don DeLoach will discuss how high-value approximation can be used to gain equivalent insight to exact queries while overcoming the prohibitive time and costs associated with continuing with traditional models. Rethinking the problem using statistical metadata offers a compelling opportunity to overcome the mounting scale barriers by drastically reducing the resource requirements and query times to enable previously unattainable opportunities.