"Opera's core value lies in turning Big Data into Small Data – that is, using advanced machine intelligence to extract valuable signals and patterns from massive data flows and turn them into a stream of analytically enriched guidance brought to the front lines of our customers' businesses".
Numenta boasts that "As the age of the digital nervous system dawns, Grok represents the type of technology that will convert massive data flows into value".
It requires extracting value from massive data flows, filtering out large quantities of irrelevant and useless material.
But it does show that Digg isn't interested in competing with Bit.ly and other services that are seeing massive data flows from useful URL shortening services.
Data not only needs to be cleaned, but it must also be filtered and aggregated to relieve higher level algorithms from near real-time handling of such massive data flows.
We separate the acquisition data transport paths from monitoring and data evaluation in order to prevent the capturing system from congestion by the massive measurement data flow.
These massive digital data flows are the new raw materials for research.
However for the storage we need to investigate the NoSQL models to design and develop [8, 22]; besides flexibly preserving the big data timestamped characteristics for the massive real-time data flow during acquisition processes [24].
According to the growing evolution in complex systems and their integrations, Internet of things, communication, massive information flows and big data, a new type of systems has been raised to software engineers known as Ultra Large Scale (ULS) Systems.
Visible Technologies, FMS and StreamBase, all companies that provide products that analyze the massive amount of data flowing out of social networking and communication sites, all found spots in the In-Q-Tel portfolio.
