My favorite writer, Gil Press, sums it up with, “It’s Official: The
Internet Of Things Takes Over Big Data As The Most Hyped Technology” where
he talks about how Gartner released its latest Hype Cycle for Emerging
Technologies, and how big data has moved down the “trough of
disillusionment,” replaced by the Internet of Things at the top of the hype
The term Internet of Things was coined by the British technologist Kevin
Ashton in 1999, to describe a system where the Internet is connected to the
physical world via ubiquitous sensors.
Today, the huge amounts of data we are producing and the advances in mobile
technologies are bringing the idea of Internet connected devices into our
homes and daily lives.
Definitions of IoT Has Expanded
Internet of Things was a popular concept dating far back to articles like
Scientific American in 2004. RFID and sensor techn... (more)
What do you get when you combine Big Data technologies….like Pig and
Hive? A flying pig?
No, you get a “Logical Data Warehouse”.
My general prediction is that Cloudera and Hortonworks are both aggressively
moving to fulfilling a vision which looks a lot like Gartner’s “Logical
Data Warehouse”….namely, “the next-generation data warehouse that
improves agility, enables innovation and responds more efficiently to
changing business requirements.”
In 2012, Infochimps (now CSC) leveraged its early use of stream processing,
NoSQLs, and Hadoop to create a design pattern which combined r... (more)
The security community has a growing number of influential and important
people, especially as the industry rises to meet the need to address more
advanced security threats, such as targeted attacks. But how does a company
in the security industry truly identify the influential people? And then once
identified, how does one use influential voices to help promote their brand?
In this study, we answer the first question - how to identify the most
powerful voices in your industry, focusing on the security space, and as part
of this we provide you a list of people to follow for the b... (more)
My prediction for 2013 is that competitive advantage will translate into
enterprises using sophisticated Big Data analytics to create a new breed of
applications - Intelligent Applications.
"It's more than just insights from MapReduce", a CIO from a fortune 100 told
me, "It's about using data to make our customer touch points more engaging,
more interactive, more intelligent."
So when you hear about "Big Data solutions," you need to translate that into
a new category of "Intelligent Applications." At the end of the day, it's not
about people pouring through petabytes of data. It'... (more)
Fraud is definitely top of mind for all banks. Steve Rosenbush at the Wall
Street Journal recently wrote about Visa’s new Big Data analytic engine
which has changed the way the company combats fraud. Visa estimates that its
new Big Data fraud platform has identified $2 billion in potential annual
incremental fraud savings. With Big Data, their new analytic engine can study
as many as 500 aspects of a transaction at once. That’s a sharp improvement
from the company’s previous analytic engine, which could study only 40
aspects at once. And instead of using just one analytic model, ... (more)