Organizations are no longer content waiting until tomorrow to know what happened two minutes ago, nor can they afford to wait. Many operational and mission-critical decisions rely on how fast and accurately they can analyze the growing amount of data streaming into the organization.
As the architectural landscape becomes more complex, big data analytics professionals must find a way to wrestle insights from incompatible systems, despite the inconsistency of data. Adding more capacity, hardware and personnel is a poor workaround — it just adds a lot more cost and doesn’t necessarily translate into better, faster insights.
Author: Todd Mostak