The Big Data Now anthology is relevant to anyone who creates, collectsor relies upon data. It's not just a technical book or just a businessguide. Data is ubiquitous and it doesn't pay much attention toborders, so we've calibrated our coverage to follow it wherever itgoes.
In the first edition of Big Data Now, the O'Reilly team tracked thebirth and early development of data tools and data science. Now, withthis second edition, we're seeing what happens when big data grows how it's being applied, where it's playing a role, and theconsequences -- good and bad alike -- of data's ascendance.
We've organized the second edition of Big Data Now into five
Getting Up to Speed With Big Data -- Essential information on thestructures and definitions of big data.
Big Data Tools, Techniques, and Strategies -- Expert guidance forturning big data theories into big data products.
The Application of Big Data -- Examples of big data in action, including a look at the downside of data.
What to Watch for in Big Data -- Thoughts on how big data will evolveand the role it will play across industries and domains.
Big Data and Health Care -- A special section exploring thepossibilities that arise when data and health care come together.
Set of articles by different authors, loosely coupled by one common topic - big data. Maybe it's interesting for somebody who doesn't track current state of this branch, but for persons who read blogs/articles from time to time, here will be not so much useful stuff...
This very interesting book contains plenty of links to a lot of reference material and is in general a very good introduction to the subject, provided that the reader has some insight on IT. Only week point is that I've found the last part a little boring.
The logistics around Big Data are fascinating - I especially liked the questions posed by Health IT issues. If we don't consume data in a usable format, what use is it? I am a huge proponent of data standardization and I found the concepts described to be common sense, however the actual application of the proposed methods of data retrieval and analysis will be interesting to see (if it happens).
It's a collection of essays on data sciences and tools as they realte to the amount of data we leave about ourselves on the Internet. It's a bit dated but as it is it's a chilling read. We leave a lot of information out there and we don't control it. Various essays cover the tools, the potential products and the people selling it. The math whooshed right by me in a few essays but overall a necessary read.
Definitely a far more focused and tightly written book than the 2011 edition. Filled with insightful essays on the tools of big data, methods of thinking, and applications of big data. Far more valuable were the several internet links the ebook provided. It is the best primer I've read so far on Big Data, albeit sparse.
Great introduction to data analysis. Book invites reader into the field of data analysis and business intelligence. Recommend to all interested researchers.