Do you Hadoop ?
The open source software that allows inexpensive commodity servers to analyze huge amounts of data is rapidly becoming the defacto choice for platform architecture in the field of big data. Hadoop is a reality today, helping you find cheap airfare, make reservations, connect with friends, and more. The Hadoop ecosystem is growing rapidly and adopted by nearly every player (demonstrated by this info graphic). It’s scalability is limitless, providing a solid foundation for the 50 billion connected devices coming to a neighborhood near you.
Happy IPv6 Day!
Today is the official launch of IPv6 and we move into a new era of the connected world. IPv6 will provide enough addresses for every atom on the surface of the earth to have 100 unique IP addresses to prepare for the 50 billion devices that will soon be connected. Major ISPs, manufacturers and service providers such as Cisco, Akamai, AT&T, Google, and more have flipped the switch…and that is just the beginning.
Turning data into BIG DATA
Cisco’s recent VNI (Visual Networking Forecast) suggests that by 2016, we will generate 1.3 zettabytes of data per year. Putting it in perspective.. in 2016 the gigabyte equivalent of all movies ever made will cross the global internet every 3 minutes. M2M (machine to machine) data is projected to be a significant contributor to that 1.3 zettabytes (at least in number of devices). Intelligent devices transmitting data without human interaction…that is the Internet of Things…
It is projected that by the year 2020 there will be over 50 billion devices communicating over the internet. M2M devices are forecasted to be the fastest growing connected device in the home, outpacing set top boxes and PCs, with an impressive Compounded Annual Growth Rate (CAGR) of nearly 60%. What are all those devices transmitting? Location, temperature, humidity, movement, acceleration, time, channel, intensity?… you name it. Capturing and managing all of that data is one thing, gaining value from it is another. The notion of collecting data in the connected home space is nothing new. Even before the broadband era, as a systems integrator myself, we had the “ability” to capture not only when our clients were watching TV, but what they were watching, when they were watching, and how long they were watching. This was possible by simply capturing button presses on a UI. Much more data than Nielsen could capture. The problem is we never capitalized on that opportunity. If we had aggregated consumer usage data over a 10 or 15 year period, I believe we would have accumulated what many believe is pretty strong IP. ”Big Data” is a hot catch phrase in the software industry today, mainly because data analytics has taken on a whole new meaning with the introduction of M2M. The amount of data connected devices will transfer in the future is staggering.
If you provide intelligent control systems, are you looking at ways you can diversify and increase your valuation? Is there a way ESCs could convert aggregated data into tangible value for the company? the client? other stakeholders?
Will your toaster have an imp?
A Silicon Valley startup received nearly 8M in series A funding from Redpoint Ventures and came above water yesterday introducing Electric imp, A device resembling an SD card and contains an embedded processor and WiFi. The company hopes to accelerate the Internet of Things by persuading manufacturers of consumer electronics to incorporate their technology. Authentication credentials are transferred via an optic sensor on the card from your smart phone.
The Social Microfunding phenomenon
With 6 days to go #pebblewatch has raised a record breaking 10M on #kickstarter! 10X projected goal.
Cows on the grid? With 340,282,366,920,938,463,463,374,607,431,768,211,456 IP addresses (100 for every atom on the face of the earth), we can spare a few for tech savvy bovine.
IBM Shatters Moore’s Law
Researchers at IBM announced Thursday they successfully stored one bit of data on just 12 atoms, a task that currently requires about 1 million.
That map you see above isn’t a picture of the earth, seen from space. Rather, it’s a map of the locations attached to every tweet and Flickr photo. What results is a remarkable picture of how each service has spread across the globe.
(Source: smarterplanet, via emergentfutures)
(Source: ilovecharts)
