"Real-Time Big Data Analytics: Emerging Architecture" by Mike Barlow, an award-winning journalist, author and communications strategy consultant.
A rapidly emerging universe of newer technologies has dramatically reduced data processing cycle time, making it possible to explore and experiment with data in ways that would not have been practical or even possible a few years ago. Despite the availability of new tools and systems for handling massive amounts of data at incredible speeds however, the real promise of advanced data analytics lies beyond the realm of pure technology.
Real-time big data isn’t just a process for storing petabytes or exabytes of data in a data warehouse. It’s about detecting fraud while someone is swiping a credit card or triggering an offer while a shopper is standing on a checkout line, or placing an ad on a website while someone is reading a specific article. It’s about combining and analyzing data from multiple sources so you can take the right action at the right time and right place.
An architecture for handling real-time big data analysis is slowly taking shape. Now's the time to begin developing a real understanding of the promise.