Monday, October 03, 2011

Four Data ebooks free from Oreilly

Four mini Ebooks are free from Oreilly.

Big Data Bibliography 
Editors of Safari Books Online
Publisher: O'Reilly Media
Released: September 2011
Pages: 126

The exponentially decreasing costs of data storage combined with the soaring volume of data being captured presents challenges and opportunities to those who work in the new frontiers of data science. Businesses, government agencies, and scientists leveraging data-based decisions are more successful than those relying on decades of trial-and-error. But taming and harnessing big data can be a herculean undertaking. The data must be collected, processed and distilled, analyzed, and presented in a manner humans can understand. Because there are no degrees in data science, data scientists must grow into their roles. If you are looking for resources to help you better understandbig data and analytics, this is your guide. Tap into books and videos that cover everything from business intelligence to data mining and machine learning, to cloud services and NoSql Data Stores to data visualization.
By O'Reilly Radar Team
Publisher: O'Reilly Media
Released: August 2011
Pages: 137

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.

By DJ Patil
Publisher: O'Reilly Media / Radar
Released: September 2011
Pages: 25
As data science evolves to become a business necessity, the importance of assembling a strong and innovative data teams grows. In this in-depth report, data scientist DJ Patil explains the skills, perspectives, tools and processes that position data science teams for success.

Topics include: What it means to be "data driven." The unique roles of data scientists. The four essential qualities of data scientists. Patil's first-hand experience building the LinkedIn data science team.

Publisher: O'Reilly Media / Radar
Released: September 2011
Pages: 14
This report examines the important shifts in data products. Drawingfrom diverse examples, including iTunes, Google's self-driving car,and patient monitoring, author Mike Loukides explores the"disappearance" of data, the power of combining data, and thedifference between discovery and recommendation. Looking ahead, theanalysis finds the real changes in our lives will come from productsand companies that reveal data results, not the data itself.

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