There are many reasons why an organization would need to build a distributed system, but here are two examples: The demands of a consumer Web site/API or multitenant enterprise application simply exceed the computing capacity of any one machine. An enterprise moves an existing application, such as a three-tier system, onto a cloud service provider in order to save on hardware/data-center costs.
(Full Story: http://queue.acm.org/detail.cfm?id=2482856 )
Express your opinions unapologetically. You’re a human–not an information dispenser. People can look up facts on the internet. They’re at the conference to listen to your perspective on things. Leave your audience with something to wonder about. Unanswered questions are OK in a keynote.
(Full Story: http://chadfowler.com/blog/2013/06/08/how-to-give-a-keynote/ )
Faith in the power (especially the predictive power) of more data is of course a central tenet of the religion of big data and it looks like the NSA has been a willing convert. But not everybody agrees it’s the most effective course of action. For example, business analytics expert Meta Brown: “The unspoken assumption here is that possessing massive quantities of data guarantees that the government will be able to find criminals, and find them quickly, by tracing their electronic tracks. That assumption is unrealistic. Massive quantities of data add cost and complexity to every kind of analysis, often with no meaningful improvement in the results. Indeed, data quality problems and slow data processing are almost certain to arise, actually hindering the work of data analysts. It is far more productive to invest resources into thoughtful analysis of modest quantities of good quality, relevant data.”
This past April, MemSQL spent more than $27,000 on Amazon virtual servers. That’s $324,000 a year. But for just $120,000, the company could buy all the physical servers it needed for the job — and those servers would last for a good three years. The company will add more machines over that time, as testing needs continue to grow, but its server costs won’t come anywhere close to the fees it was paying Amazon.
Users want budget predictability Users want technology predictability You say iterative, they say disorganized and never-ending
(Full Story: http://www.itworld.com/print/359398 )
So why are the city’s smartest map hackers so excited about it? Get ready for superlatives: New York is America’s biggest city, so these mundane bits of data add up to largest survey of human settlement ever performed. “It’s like the Rosetta Stone of spatial urban planning data,” said Steven Romalewski, director of CUNY’s Mapping Service. And since property taxes are the city’s biggest source of income, the Department of Finance has an army of assessors to swarm the city and keep the records up to date. That means the data is continuous, and changes can be tracked over time.
… This changed significantly about a month ago when Joyent launched Manta. We like to say that we built Manta to solve all kinds of problems from log analysis to video transcoding, but the reality is now clear: Manta exists to compute analytics on Mario Kart 64 sessions. Immediately after we stood up our production Manta service, I loaded all of the videos we’ve recorded to date.