By Brandy Smith
Big data is rapidly evolving from proof-of-concept to production. While the terms big data and cloud were previously taboo, many businesses are looking to big data as a source of customer insight and a way to bolster operational efficiencies. The cloud is becoming a viable option as many IT managers are faced with the challenges of finding ways to collect, store, manage, and analyze large amounts of data collected from thousands of sources.
As big data production applications migrate toward becoming the norm across organizations, it is being increasingly applied to enterprise-wide, mission-critical operations. Big data has become too massive to keep on a single proprietary system. As such, the demands for integration are increasing exponentially. The current task at hand for many IT decision makers is to create a plan for taking their businesses data to the cloud, and how it will be used after it is there. But once that is complete, the monumental task of building out a long-term strategy for their data to succeed in real-world corporate IT settings awaits.
The Big Data Model
Big data activity can be aggressive. Often this means that the issue of data collection is way ahead of storage and utilization capabilities. When...