Big Data Now: Current Perspectives from O'Reilly Radar

Our methodology is simple: we draw from the wisdom of the alpha geeks in our midst, paying attention to what's interesting to them, amplifying these weak signals, and seeing where they fit into the innovation ecology. Add to that the original research conducted by our Research team, and you start to get a good picture of what the technology world is thinking about. What books are people just now starting to buy, and which are falling off in interest? Which tech-related Google AdWords are rising or falling in price? What can we learn from predictive markets tracking tech trends? What do help-wanted ads tell us about technology adoption

出版者:O'Reilly Media, Inc., 2011

作者:O'Reilly Radar Team

页数:137

出版时间:2011-8-30

价格:0

isbn号码:9781449315214

图书标签:大数据Data数据可视化数据分析大数据时代O'ReillyBig_Data

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This collection represents the full spectrum of data-related content we’ve published on O’Reilly Radar over the last year. Mike Loukides kicked things off in June 2010 with “What is data science?” and from there we’ve pursued the various threads and themes that naturally emerged. Now, roughly a year later, we can look back over all we’ve covered and identify a number of core data areas:

Data issues -- The opportunities and ambiguities of the data space are evident in discussions around privacy, the implications of data-centric industries, and the debate about the phrase “data science” itself.

The application of data: products and processes – A “data product” can emerge from virtually any domain, including everything from data startups to established enterprises to media/journalism to education and research.

Data science and data tools -- The tools and technologies that drive data science are of course essential to this space, but the varied techniques being applied are also key to understanding the big data arena.

The business of data – Take a closer look at the actions connected to data -- the finding, organizing, and analyzing that provide organizations of all sizes with the information they need to compete.

用户评价

一些观点文集

访谈博客文章合集，挺好的，了解个大致情况

2012 edition

包含信息量极大，搞大数据的童鞋应当好好读一下

2012 edition