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 techno... (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)
I was talking to one of the prominent General Partners at a Venture Capital
firm here in Silicon Valley over the holidays…discussing how the Cloud
market is evolving. We both agreed that 2013 will mark yet another shift in
the evolution of web applications.
I personally simplified this view of cloud evolution by defining its
progression in the following periods...dating back to these noteworthy
ISP Era: Software Tool & Die is founded in 1989 ASP to SaaS Era:
TeleComputing founder coins ASPs in 1996 IaaS & PaaS Era: Amazon EC2 is
Launched in 2006 Analytics Application Er... (more)
Have you heard of products like IBM’s InfoSphere Streams, Tibco’s Event
Processing product, or Oracle’s CEP product? All good examples of
commercially available stream processing technologies which help you process
events in real-time.
I’ve been asked what I consider as “Big Data” versus “Small Data”
in this domain. Here’s my view.
Real-Time Analytics Small Data Big Data Data Volume None None Data Velocity
100K events / day (<<1K events / second) Billion+ events / day (>>1K events /
second) Data Variety 1-6 unstructured on sources AND 1 single destination (an
output file, a SQ... (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)