Data analysis is of course an important part of Big Data. Analyzing your data streams and combining different data sources for new insights can be done with a variety of tools and programming languages.
Topography, architecture and traffic routes give every city a unique structure. 'These conditions create the typical and individual inner structure of a city.I didn’t only want to show these structures in the conventional way from above, but also including the exact three-dimensionality of topography and buildings – a real world visualisation. The OpenStreetMap data enabled me to visualize the satellite-based information using DEM Earth in Cinema 4D. The results are some extraordinary views of large capitals and small towns.'
I see ton of such misunderstanding and misuse of models. Though started as an instructional aid to my students, I find it useful for all the practitioner's predictive models.The fast growth in applications of predictive models is resulting in almost like intellectual anarchy, where the systematic way of creating and applying predictive models are often overlooked in the name of benefiting by "picking low hanging fruits", and also because statisticians are not boldly coming forward to help guide users.One of the nice developments in the market place is availability of ready to
Ever wonder how many meteors have hit Earth? The Meteoritical Society is doing its best to keep track. And Javier de la Torre, co-founder of CartoDB, is helping us see the pure volume of hits (into the tens of thousands). His interactive visualization shows a heatmap of hits all over the world, letting you explore where and when meteorites fell, as well as their size and classification.
Most teams have full-time data analysts and high-tech devices to help guide better decision making both on and off the field. Which teams aren't fully on board? Just look at the bottom of the standings.
Is there a bigger purpose for all the work that small and large companies are doing in the Big Data domain? Bigger than trying to find needles of insight in haystacks of data?My answer is a definite _Yes_.
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