Fast Data Gets A Jump On Big Data by Hasan Rizvi.
The title reminded me of a post by Sam Hunting that asked: “How come we’ve got Big Data and not Good Data?”
Now “big data” is to give way to “fast data.”
From the post:
Today, both IT and business users alike are facing business scenarios where they need better information to differentiate, innovate, and radically transform their business.
In many cases, that transformation is being enabled by a move to “Big Data.” Organizations are increasingly collecting vast quantities of real-time data from a variety of sources, from online social media data to highly-granular transactional data to data from embedded sensors. Once collected, users or businesses are mining the data for meaningful patterns that can be used to drive business decisions or actions.
Big Data uses specialized technologies (like Hadoop and NoSQL) to process vast amounts of information in bulk. But most of the focus on Big Data so far has been on situations where the data being managed is basically fixed—it’s already been collected and stored in a Big Data database.
This is where Fast Data comes in. Fast Data is a complimentary approach to Big Data for managing large quantities of “in-flight” data that helps organizations get a jump on those business-critical decisions. Fast Data is the continuous access and processing of events and data in real-time for the purposes of gaining instant awareness and instant action. Fast Data can leverage Big Data sources, but it also adds a real-time component of being able to take action on events and information before they even enter a Big Data system.
Sorry Sam, “good data” misses out again.
Data isn’t the deciding factor in human decision making, instant or otherwise, see Thinking, Fast and Slow by Daniel Kahnman.
Supplying decision makers with good data and sufficient time to consider it, is the route to better decision making.
Of course, that leaves time to discover the poor quality of data provided by fast/big data delivery mechanisms.