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)
Is Big Data destined for only the top 3,000 companies worldwide? What about
medium or small companies who are equally as data-driven? Is there a place
for Big Data in SMB markets? When I talk to SMB companies about their use of
public cloud services, it’s a no-brainer. Pay as you go, lower costs
upfront, quick time-to-market. With private and public cloud solutions, both
big and small companies benefit.
So what about big data platforms? Is there an equivalent opportunity, or is
Big Data only suited for Big Companies with Big Problems?
I think Big Data applies to all, and here’s wh... (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)
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)
Lets assume that your entire organization had access to the following
Data: All sources of data from the enterprise (at rest and in motion)
Analytics: Queries, Algorithms, Machine Learning Models Application Business
Logic: Domain specific use-cases / business problems Actionable Insights:
Knowledge of how to apply analytics against data through the use of
application business logic to produce a positive impact to the business
Infrastructure Configuration: High scalable, distributed, enterprise-class
infrastructure capable of combining data, analytics, with app ... (more)