KDnuggets Home » News :: 2013 :: Oct :: Publications :: 3 Free Big Data books from O'Reilly on Amazon ( 13:n25 )

3 Free Big Data books from O’Reilly on Amazon

          

Free ebooks from O'Reilly Media, available on Amazon, look at Big Data disruptive possibilities, emerging architecture, tools, applications, and trends, with a special section on health care.

Disruptive Possibilities: How Big Data Changes EverythingDisruptive Possibilities:
How Big Data Changes Everything
[Kindle Edition],

by Jeffrey Needham.

Description: Disruptive Possibilities: How Big Data Changes Everything takes you on a journey of discovery into the emerging world of big data, from its relatively simple technology to the ways it differs from cloud computing. But the big story of big data is the disruption of enterprise status quo, especially vendor-driven technology silos and budget-driven departmental silos. In the highly collaborative environment needed to make big data work, silos simply don't fit.

Internet-scale computing offers incredible opportunity and a tremendous challenge-and it will soon become standard operating procedure in the enterprise. This book shows you what to expect.


Real-Time Big Data Analytics: Emerging ArchitectureReal-Time Big Data Analytics:
Emerging Architecture
[Kindle Edition]

by Mike Barlow.

Description: Five or six years ago, analysts working with big datasets made queries and got the results back overnight. The data world was revolutionized a few years ago when Hadoop and other tools made it possible to get the results from queries in minutes. But the revolution continues. Analysts now demand sub-second, near real-time query results.

Fortunately, we have the tools to deliver them. This report examines tools and technologies that are driving real-time big data analytics.


Big Data Now: 2012 EditionBig Data Now: 2012 Edition [Kindle Edition],

by O'Reilly Media Inc.

Description: The Big Data Now anthology is relevant to anyone who creates, collects or relies upon data. It's not just a technical book or just a business guide. Data is ubiquitous and it doesn't pay much attention to borders, so we've calibrated our coverage to follow it wherever it goes.

In the first edition of Big Data Now, the O'Reilly team tracked the birth and early development of data tools and data science. Now, with this second edition, we're seeing what happens when big data grows up: how it's being applied, where it's playing a role, and the consequences -- good and bad alike -- of data's ascendance.

We've organized the second edition of Big Data Now into five areas:

  • Getting Up to Speed With Big Data: Essential information on the structures and definitions of big data.
  • Big Data Tools, Techniques, and Strategies: Expert guidance for turning 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 evolve and the role it will play across industries and domains.
  • Big Data and Health Care: A special section exploring the possibilities that arise when data and health care come together.


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