Of note, the use of GPS for surveying sea surface height has proposed or experimented with for a number of years (Cardellach, Estel; Martin-Neira, Manuel., April 2010). It might be because they've moved beyond 'proof of concept', but I think to say they discovered it is a bit strong. I've even found papers detailing the experimental use of GPS satellites to determine sea surface heights as far back as 2001 (Martin-Neira, M; Caparrini, M; Font-Rossello, J; Lannelongue, S; Vallmitjana, C S, 2001). The bggest change might be a reduction of errors, going from (30cm errors in 2000 to 5 - 15cm in 2009. If they've managed to further reduce the size of the errors then they're onto something really big. If they've just found a more efficient method of measuring sea surface heights in the open ocean, well that's pretty cool, but I'm not sure it's quite a game breaker.
As far as sea surface rise being a hoax, that's a silly statement, after all the empirical evidence is pretty strong, We have long term gauges that have been operating for centuries in a number of areas, and excepting for regions of crustal rebound, raw sea level rise is consistent with expectations if additional heat was being pumped into and inceasing the depth of the thermocline..
Notably, s2n does not provide all the additional cryptographic functions that OpenSSL provides in libcrypto, it only provides the SSL/TLS functions. Further more, it implements a relatively small subset of SSL/TLS features compared to OpenSSL.
This is the kind of really important detail that is often left out of summaries and winds up making my eye twitch. Thanks OP and/or editors for rising above the common dross.
Both Pointy Headed Bosses and Slashdot loooove talking about tools. As the posts generally show, both PHBs and Slashdoters have no clue about what Big Data is used for. It's all about the buzzwords and technology, not about use and utility. There are no references to any algorithms.
Heh. I've been doing big data since 2000. Fifteen years experience in a field that's five years old, I like to say. And let me say this: You nailed it. Your whole post, not just the part I quoted. I've used the tools, from Colt to R, and there is no substitute for the ability to analyze and match a business model, data system, algorithms, implementation, and business controls.
On the upside, give me (or, I'm guessing, you) a month or two to develop a big data strategy, and we'll generate large, measurable, improvement in the company's desired performance metric -- using whatever toolset the company is fawning over at the moment. It may not be what sells the PHBs, but it feeds the bulldog.
It is a shame, though, to see so many charlatans diverting so much revenue into ill-conceived projects. Alas.
The best book on programming for the layman is "Alice in Wonderland"; but that's because it's the best book on anything for the layman.