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Soumendra Mohanty, Madhu Jagadeesh, Harsha Srivatsa. Big Data Imperatives: Enterprise ‘Big Data’ Warehouse, ‘BI’ Implementations and Analytics

Big Data Imperatives, focuses on resolving the key questions on everyone’s mind: Which data matters? Do you have enough data volume to justify the usage? How you want to process this amount of data? How long do you really need to keep it active for your analysis, marketing, and BI applications? Big data is emerging from the realm of one-off projects to mainstream business adoption; however, the real value of big data is not in the overwhelming size of it, but more in its effective use.

This book addresses the following big data characteristics:

- Very large, distributed aggregations of loosely structured data – often incomplete and inaccessible
- Petabytes/Exabytes of data
- Millions/billions of people providing/contributing to the context behind the data
- Flat schema's with few complex interrelationships
- Involves time-stamped events
- Made up of incomplete data
- Includes connections between data elements that must be probabilistically inferred
- Big Data Imperatives explains 'what big data can do'. It can batch process millions and billions of records both unstructured and structured much faster and cheaper. Big data analytics provide a platform to merge all analysis which enables data analysis to be more accurate, well-rounded, reliable and focused on a specific business capability.

Big Data Imperatives describes the complementary nature of traditional data warehouses and big-data analytics platforms and how they feed each other. This book aims to bring the big data and analytics realms together with a greater focus on architectures that leverage the scale and power of big data and the ability to integrate and apply analytics principles to data which earlier was not accessible.

This book can also be used as a handbook for practitioners; helping them on methodology,technical architecture, analytics techniques and best practices. At the same time, this book intends to hold the interest of those new to big data and analytics by giving them a deep insight into the realm of big data.

Donald E. Campbell. Incentives: Motivation and the Economics of Information

This book examines the incentives at work in a wide range of institutions to see how and how well coordination is achieved by informing and motivating individual decision makers. The book examines the performance of agents hired to carry out specific tasks, from taxi drivers to CEOs. It investigates the performance of institutions, from voting schemes to kidney transplants, to see if they enhance general well being. The book examines a broad range of market transactions, from auctions to labor markets, to the entire economy. The analysis is conducted using specific worked examples, lucid general theory, and illustrations drawn from news stories.

Of the seventy different topics and sections, only twelve require a knowledge of calculus. The second edition offers new chapters on auctions, matching and assignment problems, and corporate governance. Boxed examples are used to highlight points of theory and are separated from the main text.

Dona M. Wong. The Wall Street Journal Guide to Information Graphics: The Dos and Don'ts of Presenting Data, Facts, and Figures

In today’s data-driven world, professionals need to know how to express themselves in the language of graphics effectively and eloquently. Yet information graphics is rarely taught in schools or is the focus of on-the-job training. Now, for the first time, Dona M. Wong, a student of the information graphics pioneer Edward Tufte, makes this material available for all of us. In this book, you will learn:

-to choose the best chart that fits your data;
-the most effective way to communicate with decision makers when you have five minutes of their time;
-how to chart currency fluctuations that affect global business;
-how to use color effectively;
-how to make a graphic “colorful” even if only black and white are available.

The book is organized in a series of mini-workshops backed up with illustrated examples, so not only will you learn what works and what doesn’t but also you can see the dos and don’ts for yourself. This is an invaluable reference work for students and professional in all fields.
2-color; 500+ illustrations, 16 pages of color

Developers from DevZone. Big Data Bibliography

Those involved in data wrangling would have easier jobs if the processing power of a single machine could keep up with the size of the data they needed to process. The fact is it hasn’t, and over the past decade a new field of Big Data has emerged. This Big Data field is focused on reliably processing massive amounts of data. Processing large amounts of data has been done in the past, but what is new this time around is that it’s being done on commodity hardware and open-source software tools.

We have chosen a selection of the most useful books for data analysis in this Safari Books Online bibliography. These start from high level concepts of business intelligence, data analysis and data mining, and work their way down to the tools needed for number crunching mathematical toolkits, machine learning, and natural language processing. We then cover Cloud Services and Infrastructure and Amazon Web Services. Finally, we have Hadoop and NoSql sections that list the Big Data tools that can be deployed locally or in the cloud.

Alexander Green. An Embarrassment of Riches: Tapping Into the World's Greatest Legacy of Wealt

As national investment expert and bestselling author Alexander Green reveals in this engrossing and provocative new book, the human race has never had it so good.  In the West today, we work shorter hours, have more purchasing power, enjoy goods and services in almost limitless supply, and have more leisure time than ever before.  Living standards are the highest they have ever been. The human life span has nearly doubled over the past hundred years.  Literacy and education levels – even I.Q.’s – are at all-time highs. Technology and medicine are revolutionizing our lives. All forms of pollution – with the exception of greenhouse gases – are in decline.  Access to the arts has never been greater.  Crime is in a long-term cycle of decline.  And the risk of death by violence has never been smaller for most of humanity.

By almost every measure, our lives today are wealthy beyond measure.  We are all heir to an embarrassment of riches.  Yet – thanks in large part the drumbeat of negative media coverage – most of us don’t realize it.  Green compares the average citizen to “a lottery winner whose ticket is lost in some upstairs drawer.”

The consequences of adopting the cynical but popular worldview are many, including needless pessimism, missed investment opportunities, and – surprisingly – even poorer health. Yet An Embarrassment of Riches provides a powerful antidote.

Amy Larkin. Environmental Debt: The Hidden Costs of a Changing Global Economy

Author has been at the forefront of the fight for the environment for years, and in Environmental Debt she argues that the costs of global warming, extreme weather, pollution and other forms of “environmental debt” are wreaking havoc on the economy. Synthesizing complex ideas, she pulls back the curtain on some of the biggest cultural touchstones of the environmental debate, revealing how, for instance, despite coal’s relative fame as a “cheap” energy source, ordinary Americans pay $350 billion a year for coal’s damage in business related expenses, polluted watersheds, and in healthcare costs. And the problem stretches far beyond our borders: deforestation from twenty years ago in Thailand caused catastrophic flooding in 2011, and cost Toyota 3.4 percent of its annual production while causing tens of thousands of workers to lose jobs in three different countries.

To combat these trends, Larkin proposes a new framework for 21st century commerce, based on three principles: 1) Pollution can no longer be free; 2) All business decision making and accounting must incorporate the long view; and 3) Government must play a vital role in catalyzing clean technology and growth while preventing environmental destruction. As companies and nations struggle to strategize in the face of global financial debt, many businesses have begun to recognize the causal relationship between a degraded environment and a degraded bottom line.  Profiling the multinational corporations that are transforming their operations with downright radical initiatives, Larkin presents smart policy choices that would actually unleash these business solutions to many global financial and environmental problems.  

Provocative and hard-hitting, Environmental Debt sweeps aside the false choices of today’s environmental debate, and shows how to revitalize the economy through nature’s bounty.

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