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.
From the Foreword by Michael Halbherr, Executive Vice President, Nokia
We are living in a time of radical change. From my vantage point as head of Nokia's Location and Commerce business, I see many business and technical trends shaping our future--and all depend on a new commodity: data. In our mapping business, I see the need to evolve from a road-centric tool to something that allows people to truly understand and maneuver the complexities of a modern city. To accomplish this, we need a lot of data and ways to correlate disparate information into what we call "Smart Data." Analytics is core to what we do, and how we deliver value to customers today and in the future.
I recently spoke to the Nokia board about our data, and some members questioned how we could monetize this asset. Since a few members are executives in the oil industry, I told them that data is the "oil of the future", and that you monetize this new resource the same way you monetize oil, by spending time and money refining it. In our case, we are refining data about people, locations, social interactions, traffic, musical preferences, and so on to bring maps to life.
The analytical leaders profiled in this book demonstrate how to refine data for business gain and innovation. They play a pivotal role by bridging the worlds of business and technology. When supported by the business, they've delivered remarkable solutions that have given their organizations a competitive edge.
I highly recommend this book to anyone who wants to monetize the most important resource of our time: data. It's written in language that both a CEO and a CIO can understand, and carries important lessons no matter what side of the business-technology aisle someone sits.
Автор: Qing Li; Ling Feng; Jian Pei; X. Sean Wang; Xiaofa Название: Advances in Data and Web Management ISBN: 364200671X ISBN-13(EAN): 9783642006715 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the proceedings of the joint International Conference APWeb/WAIM 2009 which was held in Suzhou, China, during April 1-4, 2009. This work covers topics including query processing, topic-based techniques, Web data processing, multidimensional data analysis, stream data processing and data management support to advanced applications.
Автор: Ujjwal Maulik; Lawrence B. Holder; Diane J. Cook Название: Advanced Methods for Knowledge Discovery from Complex Data ISBN: 1849969914 ISBN-13(EAN): 9781849969918 Издательство: Springer Рейтинг: Цена: 23058.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The growth in the amount of data collected and generated has exploded in recent times with the widespread automation of various day-to-day activities, advances in high-level scienti?c and engineering research and the development of e?cient data collection tools.
Автор: Schulz, Greg, Название: Software-Defined Data Infrastructure Essentials ISBN: 149873815X ISBN-13(EAN): 9781498738156 Издательство: Taylor&Francis Рейтинг: Цена: 19140.00 р. Наличие на складе: Поставка под заказ.
Описание:
Software-Defined Data Infrastructures Essentials provides fundamental coverage of physical, cloud, converged, and virtual server storage I/O networking technologies, trends, tools, techniques, and tradecraft skills. From webscale, software-defined, containers, database, key-value store, cloud, and enterprise to small or medium-size business, the book is filled with techniques, and tips to help develop or refine your server storage I/O hardware, software, and services skills. Whether you are new to data infrastructures or a seasoned pro, you will find this comprehensive reference indispensable for gaining as well as expanding experience with technologies, tools, techniques, and trends.
We had a front row seat watching Greg present live in our education workshop seminar sessions for ITC professionals in the Netherlands material that is in this book. We recommend this amazing book to expand your converged and data infrastructure knowledge from beginners to industry veterans. --Gert and Frank Brouwer, Brouwer Storage Consultancy
Software-Defined Data Infrastructures Essentials provides the foundational building blocks to improve your craft in serval areas including applications, clouds, legacy, and more. IT professionals, as well as sales professionals and support personnel, stand to gain a great deal by reading this book.--Mark McSherry, Oracle Regional Sales Manager
Looking to expand your data infrastructure IQ? From CIOS to operations, sales to engineering, this book is a comprehensive reference, a must read for IT infrastructure professionals, beginners to seasoned experts.--Tom Becchetti, Advisory Systems Engineer
Greg Schulz has provided a complete 'toolkit' for storage management along with the background and framework for the storage or data infrastructure professional or those aspiring to become one.--Greg Brunton, Experienced Storage and Data Management Professional
Автор: Biehl Название: Data Warehousing for Biomedical Informatics ISBN: 1482215217 ISBN-13(EAN): 9781482215212 Издательство: Taylor&Francis Рейтинг: Цена: 19906.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Data Warehousing for Biomedical Informatics is a step-by-step how-to guide for designing and building an enterprise-wide data warehouse across a biomedical or healthcare institution, using a four-iteration lifecycle and standardized design pattern. It enables you to quickly implement a fully-scalable generic data architecture that supports your organization's clinical, operational, administrative, financial, and research data. By following the guidelines in this book, you will be able to successfully progress through the Alpha, Beta, and Gamma versions, plus fully implement your first production release in about a year.
The Alpha version allows you to implement just enough of the basic design pattern to illustrate its core capabilities while loading a small sampling of limited data for demonstration purposes. This provides an easy way for everyone involved to visualize the new warehouse paradigm by actually examining a core subset of the working system. You can finish the Alpha version, also referred to as the proof-of-concept, in as little as 3-4 weeks.
The Beta version, which can be completed in about 2-3 months, adds required functionality and much more data. It allows you to get the full warehouse up and running quickly, in order to facilitate longer-term planning, user and support team training, and setup of the operational environment. The Gamma version, which is a fully-functional system-though still lacking data-can be implemented in about 3-4 months. About one year after starting, you will be ready to launch Release 1.0 as a complete and secure data warehouse.
Автор: Ogiela, Lidia Dominika Название: Cognitive Information Systems in Management Sciences ISBN: 0128038039 ISBN-13(EAN): 9780128038031 Издательство: Elsevier Science Рейтинг: Цена: 15159.00 р. Наличие на складе: Поставка под заказ.
Описание:
Cognitive Information Systems in ManagementSciences summarizes the body of work in this area, taking an analytical approach to interpreting the data, while also providing an approach that can be used for practical implementation in the fields of computing, economics, and engineering.
Using numerous illustrative examples, and following both theoretical and practical results, Dr. Lidia Ogiela discusses the concepts and principles of cognitive information systems, the relationship between intelligent computer data analysis, and how to utilize computational intelligent approaches to enhance information retrieval.
Real world implantation use cases round out the book, with valuable scenarios covering management science, computer science, and engineering.
Indexing: The books of this series are submitted to EI-Compendex and SCOPUS
Автор: Kent William Название: Data & Reality ISBN: 1935504215 ISBN-13(EAN): 9781935504214 Издательство: Gazelle Book Services Рейтинг: Цена: 10723.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Let's step back to the year 1978. Sony introduces hip portable music with the Walkman, Illinois Bell Company releases the first mobile phone, Space Invaders kicks off the video game craze, and William Kent writes Data and Reality. We have made amazing progress in the last four decades in terms of portable music, mobile communication, and entertainment, making devices such as the original Sony Walkman and suitcase-sized mobile phones museum pieces today. Yet remarkably, the book Data and Reality is just as relevant to the field of data management today as it was in 1978.
Data and Reality gracefully weaves the disciplines of psychology and philosophy with data management to create timeless takeaways on how we perceive and manage information. Although databases and related technology have come a long way since 1978, the process of eliciting business requirements and how we think about information remains constant. This book will provide valuable insights whether you are a 1970s data-processing expert or a modern-day business analyst, data modeler, database administrator, or data architect.
This third edition of Data and Reality differs substantially from the first and second editions. Data modeling thought leader Steve Hoberman has updated many of the original examples and references and added his commentary throughout the book, including key points at the end of each chapter.
The important takeaways in this book are rich with insight yet presented in a conversational and easy-to-grasp writing style. Here are just a few of the issues this book tackles:
Has "business intelligence" replaced "artificial intelligence"?
Why is a map's geographic landscape analogous to a data model's information landscape?
Where do forward and reverse engineering fit in our thought process?
Why are we all becoming "data archeologists"?
What causes the communication chasm between the business professional and the information technology professional in most organizations, and how can the logical data model help bridge this chasm?
Why do we invest in hardware and software to solve business problems before determining what the business problems are in the first place?
What is the difference between oneness, sameness, and categories?
Why does context play a role in every design decision?
Why do the more important attributes become entities or relationships?
Why do symbols speak louder than words?
What's the difference between a data modeler, a philosopher, and an artist?
Why is the 1975 dream of mapping all attributes still a dream today?
What influence does language have on our perception of reality?
Can we distinguish between naming and describing?
Автор: Mohamed Medhat Gaber; Ranga Raju Vatsavai; Olufemi Название: Knowledge Discovery from Sensor Data ISBN: 3642125182 ISBN-13(EAN): 9783642125188 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Mukesh K. Mohania; A Min Tjoa Название: Data Warehousing and Knowledge Discovery ISBN: 3642037291 ISBN-13(EAN): 9783642037290 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 11th International Conference DaWaK 2009 Linz Austria August 31September 2 2009 Proceedings. .
Автор: Klaus-Dieter Schewe; Bernhard Thalheim Название: Semantics in Data and Knowledge Bases ISBN: 3540885935 ISBN-13(EAN): 9783540885931 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed post-workshop proceedings of the Third International Workshop on Semantics in Data and Knowledge Bases, SDKB 2008, held in Nantes, France, on March 29, 2008. This title includes 6 revised full papers that were reviewed and selected.
Автор: Juliana Freire; David Koop Название: Provenance and Annotation of Data and Processes ISBN: 3540899642 ISBN-13(EAN): 9783540899648 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed post-conference proceedings of the Second International Provenance and Annotation Workshop, IPAW 2008, held in Salt Lake City, UT, USA, in June 2007. The papers are organized in topical sections on provenance such as: models and querying; provenance: visualization, failures, identity; and provenance and workflows.
This book examines how cloud-based services challenge the current application of antitrust and privacy laws in the EU and the US. The author looks at the elements of data centers, the way information is organized, and how antitrust, competition and privacy laws in the US and the EU regulate cloud-based services and their market practices. She discusses how platform interoperability can be a driver of incremental innovation and the consequences of not promoting radical innovation. She evaluates applications of predictive analysis based on big data as well as deriving privacy-invasive conduct. She looks at the way antitrust and privacy laws approach consumer protection and how lawmakers can reach more balanced outcomes by understanding the technical background of cloud-based services.
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