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technology ß agship of Estonia, having founded the Data Re- search Team there. Kalle K?gi, the Product Data Manager of the company, was working previously on the data buoy with Rainer. He assembled a team of top technology and science experts in the U.S. and in Estonia. The company has already started attracting top talent in the industry, hiring in September Ro- berto de Almeida, who created widely used open source li- braries Pydap and scipy.io.netcdf. Organizing Ocean Data Marinexplore addresses the two biggest issues around man- aging marine-related big data: how to access the vast amount of data that reside in isolated silos, segregated and discon- nected from each other; and how to make the time-consuming handling and processing of all this data more efÞ cient.ÒTo solve these problems, Marinexplore is creating the worldÕs Þ rst ocean big data platform, dramatically cutting processing costs for offshore energy, Þ sheries and environ- mental analysis industries. To date there is no universal tool that organizes ocean data, and enables users to share public in- formation securely across the globe.Ó said Sternfeld. Making data management signiÞ cantly more efÞ cient means someone will have less work to do. By Sternfeld itÕs an opportunity not a problem, saying ÒMarinexplore will empower the profes- sionals with cutting-edge tools to focus on their real expertise. Now, people can Þ nally focus on making really useful conclu- sions based on data instead of spending days with Excel and Matlab.Ó The company has already aggregated over 1.2 billion in-situ measurements from more than 24,000 ocean-borne devices and two satellite products, organized into an easy-to-use user Innovator Product view when satellite product is switched on (Sea Surface Temperature). ?After all that insight I got few important things  gured out. First, it was clear that intel- ligent mobile devices are becoming the new standard of the instrumentation industry. Further, cloud computing and big data are disrupting the computing and collaboration paradigm in the world.?32 MTRNovember/December 2012MTR #9 (18-33).indd 32MTR #9 (18-33).indd 3211/29/2012 11:16:32 AM11/29/2012 11:16:32 AM