The Case for the Chief Data Officer: Recasting the C-Suite to Leverage Your Most Valuable Asset

by Peter Aiken & Michael M. Gorman
May 21, 2013

Data are an organization's sole, non-depletable, non-degrading, durable asset. Engineered right, data's value increases over time because the added dimensions of time, geography, and precision. To achieve data's full organizational value, there must be dedicated individual to leverage data as assets - a Chief Data Officer or CDO who's three job pillars are:

-Dedication solely to leveraging data assets, -Unconstrained by an IT project mindset, and -Reports directly to the business

Once these three pillars are set into place, organizations can leverage their data assets. Data possesses properties worthy of additional investment. Many existing CDOs are fatally crippled, however, because they lack one or more of these three pillars. Often organizations have some or all pillars already in place but are not operating in a coordinated manner.

The overall objective of this book is to present these pillars in an understandable way, why each is necessary (but insufficient), and what do to about it.

-Uncovers that almost all organizations need sophisticated, comprehensive data management education and strategies. -Delivery of organization-wide data success requires a highly focused, full time Chief Data Officer. -Engineers organization-wide data advantage which enables success in the marketplace


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Database Design for Mere Mortals: A Hands-On Guide to Relational Database Design

by Michael J. Hernandez
April 15, 2013

Michael J. Hernandez’s best-selling Database Design for Mere Mortals has earned worldwide respect as the clearest, simplest way to learn relational database design. Now, he’s made this hands-on, software-independent tutorial even easier, while ensuring that his design methodology is still relevant to the latest databases, applications, and best practices. Step by step, Database Design for Mere Mortals, Third Edition, shows you how to design databases that are soundly structured, reliable, and flexible, even in modern web applications. Hernandez guides you through everything from database planning to defining tables, fields, keys, table relationships, business rules, and views. You’ll learn practical ways to improve data integrity, how to avoid common mistakes, and when to break the rules.


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Data Hiding

by Michael T. Raggo & Chet Hosmer
January 11, 2013

As data hiding detection and forensic techniques have matured, people are creating more advanced stealth methods for spying, corporate espionage, terrorism, and cyber warfare all to avoid detection. "Data Hiding" provides an exploration into the present day and next generation of tools and techniques used in covert communications, advanced malware methods and data concealment tactics. The hiding techniques outlined include the latest technologies including mobile devices, multimedia, virtualization and others. These concepts provide corporate, goverment and military personnel with the knowledge to investigate and defend against insider threats, spy techniques, espionage, advanced malware and secret communications. By understanding the plethora of threats, you will gain an understanding of the methods to defend oneself from these threats through detection, investigation, mitigation and prevention.


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Cloud Computing and SOA Convergence in Your Enterprise

by David S. Linthicum
January 11, 2013

Massive, disruptive change is coming to IT as Software as a Service (SaaS), SOA, mashups, Web 2.0, and cloud computing truly come of age. Now, one of the world’s leading IT innovators explains what it all means—coherently, thoroughly, and authoritatively. Writing for IT executives, architects, and developers alike, world-renowned expert David S. Linthicum explains why the days of managing IT organizations as private fortresses will rapidly disappear as IT inevitably becomes a global community. He demonstrates how to run IT when critical elements of customer, product, and business data and processes extend far beyond the firewall—and how to use all that information to deliver real-time answers about everything from an individual customer’s credit to the location of a specific cargo container.


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Secrets of Analytical Leaders

by Wayne Eckerson
January 11, 2013

Imagine spending a day with top analytical leaders and asking any question you want. In this book, Wayne Eckerson illustrates analytical best practices by weaving his perspective with commentary from seven directors of analytics who unveil their secrets of success. With an innovative flair, Eckerson tackles a complex subject with clarity and insight. Each of the book's 20 chapters is a stand-alone essay on an analytical topic, yet collectively they form a concise methodology about how to implement a successful analytics program.


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Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die

by Eric Siegel
November 30, 2012

You have been predicted — by companies, governments, law-enforcement, hospitals and universities. Their computers say, "I knew you were going to do that!" These institutions are seizing upon the power to predict whether you're going to click, buy, lie, or die.

Why? For good reason: Predicting human behavior combats financial risk, fortifies healthcare, reduces spam, toughens crime-fighting and boosts sales.

How? Prediction is powered by the world's most potent, booming unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn.

Predictive analytics is the science that unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but even lousy predictions can be extremely valuable.


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Big Data Governance

by Sunil Soares
November 9, 2012

Written by a leading expert in the field, this guide focuses on the convergence of two major trends in information management—big data and information governance—by taking a strategic approach oriented around business cases and industry imperatives. With the advent of new technologies, enterprises are expanding and handling very large volumes of data; this book, nontechnical in nature and geared toward business audiences, encourages the practice of establishing appropriate governance over big data initiatives and addresses how to manage and govern big data, highlighting the relevant processes, procedures, and policies. It teaches readers to understand how big data fits within an overall information governance program; quantify the business value of big data; apply information governance concepts such as stewardship, metadata, and organization structures to big data; appreciate the wide-ranging business benefits for various industries and job functions; sell the value of big data governance to businesses; and establish step-by-step processes to implement big data governance.


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Selling Information Governance to the Business

by Sunil Soares
November 9, 2012

Tackling one of the major challenges with implementing an information-governance program, this book provides insight into the best ways to convince businesses of the value of the practice. Most information-governance programs deal with problems that are common across every enterprise—poor data quality, inconsistency of business terms, fragmented view of the customer and product, and security and privacy. However, these issues manifest themselves differently across different industries and job functions. The author has spoken to hundreds of clients across multiple industries and geographies about their information-governance programs, and as a result, this book provides cross-industry best practices as well as best applications and case studies for a variety of industries and job functions, such as healthcare, manufacturing, transportation, telecommunications, and media.


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The IBM Data Governance Unified Process

by Sunil Soares
November 9, 2012

Anyone considering a data governance program within their organization will find an invaluable step-by-step methodology using IBM tools and best practices in this structured how-to. While many in the IT industry hold separate definitions in their minds, this authoritative manual defines data governance as the discipline of treating data as an enterprise asset. The intricate process of data governance involves the exercise of decision rights to optimize, secure, and leverage data. Providing a rigorous explanation of the 14 steps and almost 100 substeps to enact unified data governance, this extensive handbook also shows that the core issues to be tackled are not about technology but rather about people and process.


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Testing the Data Warehouse Practicum

by Doug Vucevic and Wayne Yaddow
November 1, 2012

The quality of a data warehouse (DWH) is the elusive aspect of it, not because it is hard to achieve [once we agree what it is], but because it is difficult to describe. We propose the notion that quality is not an attribute or a feature that a product has to possess, but rather a relationship between that product and each and every stakeholder. More specifically, the relationship between the software quality and the organization that produces the products is explored. Quality of data that populates the DWH is the main concern of the book, therefore we propose a definition for data quality as: "fitness to serve each and every purpose" Methods are proposed throughout the book to help readers achieve data warehouse quality.


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Systems Thinking, Third Edition: Managing Chaos and Complexity

by Jamshid Gharajedaghi
October 23, 2012

In a global market economy, a viable business cannot be locked into a single form or function anymore. Rather, success is contingent upon a self-renewing capacity to spontaneously create structures, functions, and processes responsive to a fluctuating business landscape. Now in its third edition, "Systems Thinking" synthesizes systems theory and interactive design, providing an operational methodology for defining problems and designing solutions in an environment increasingly characterized by chaos and complexity.

The current edition has been updated to include all new chapters on self-organizing systems, Holistic, Operational, and Design thinking. Gharajedaghi covers recent crises in financial systems and job markets, the housing bubble, and environment, assessing their impact on systems thinking. A companion website to accompany the book is available at www.interactdesign.com.


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Data Mining

Jiawei Han, Micheline Kamber & Jian Pei
October 23, 2012

The increasing volume of data in modern business and science calls for more complex and sophisticated tools. Although advances in data mining technology have made extensive data collection much easier, it’s still always evolving and there is a constant need for new techniques and tools that can help us transform this data into useful information and knowledge.

Since the previous edition’s publication, great advances have been made in the field of data mining. Not only does the third of edition of "Data Mining: Concepts and Techniques" continue the tradition of equipping you with an understanding and application of the theory and practice of discovering patterns hidden in large data sets, it also focuses on new, important topics in the field: data warehouses and data cube technology, mining stream, mining social networks, and mining spatial, multimedia and other complex data. Each chapter is a stand-alone guide to a critical topic, presenting proven algorithms and sound implementations ready to be used directly or with strategic modification against live data. This is the resource you need if you want to apply today’s most powerful data mining techniques to meet real business challenges.


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Heterogeneous Computing with OpenCL

by Benedict Gaster, Lee Howes, David R. Kaeli, Perhaad Mistry & Dana Schaa
October 23, 2012

"Heterogeneous Computing with OpenCL" teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs) such as AMD Fusion technology. Designed to work on multiple platforms and with wide industry support, OpenCL will help you more effectively program for a heterogeneous future.

Written by leaders in the parallel computing and OpenCL communities, this book will give you hands-on OpenCL experience to address a range of fundamental parallel algorithms. The authors explore memory spaces, optimization techniques, graphics interoperability, extensions, and debugging and profiling. Intended to support a parallel programming course, "Heterogeneous Computing with OpenCL" includes detailed examples throughout, plus additional online exercises and other supporting materials.


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IT Manager's Handbook, Third Edition

by Bill Holtsnider & Brian D. Jaffe
October 23, 2012

Making the move from an IT technician or team member to management is one of the most difficult career steps you'll face. Help from management and targeted training can be hard to come by - and your success depends on your ability to adapt to your new role almost overnight. You might have years of experience in the trenches, but you'll quickly find that managing a team, setting budgets, and creating a winning strategy for the first time can be daunting tasks.

Now in its third edition, "IT Manager's Handbook" provides a practical reference that you will return to again and again in an ever-changing corporate environment where the demands on IT continue to increase. Make your first 100 days really count with the fundamental principles and core concepts critical to your success as a new IT Manager. The book also includes discusses how to develop an overall IT strategy as well as demonstrate the value of IT to the company.


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Heuristic Search

by Stefan Edelkamp & Stefan Schroedl
October 23, 2012

Search has been vital to artificial intelligence from the very beginning as a core technique in problem solving. The authors present a thorough overview of heuristic search with a balance of discussion between theoretical analysis and efficient implementation and application to real-world problems. Current developments in search such as pattern databases and search with efficient use of external memory and parallel processing units on main boards and graphics cards are detailed.

Heuristic search as a problem solving tool is demonstrated in applications for puzzle solving, game playing, constraint satisfaction and machine learning. While no previous familiarity with heuristic search is necessary the reader should have a basic knowledge of algorithms, data structures, and calculus. Real-world case studies and chapter ending exercises help to create a full and realized picture of how search fits into the world of artificial intelligence and the one around us.


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