Big Data Now: Current Perspectives from O'Reilly Radar
Description
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.
