Principles of Data Integration

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Author :
Publisher : Elsevier
ISBN 13 : 0123914795
Total Pages : 522 pages
Book Rating : 4.1/5 (239 download)

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Book Synopsis Principles of Data Integration by : AnHai Doan

Download or read book Principles of Data Integration written by AnHai Doan and published by Elsevier. This book was released on 2012-06-25 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: Principles of Data Integration is the first comprehensive textbook of data integration, covering theoretical principles and implementation issues as well as current challenges raised by the semantic web and cloud computing. The book offers a range of data integration solutions enabling you to focus on what is most relevant to the problem at hand. Readers will also learn how to build their own algorithms and implement their own data integration application. Written by three of the most respected experts in the field, this book provides an extensive introduction to the theory and concepts underlying today's data integration techniques, with detailed, instruction for their application using concrete examples throughout to explain the concepts. This text is an ideal resource for database practitioners in industry, including data warehouse engineers, database system designers, data architects/enterprise architects, database researchers, statisticians, and data analysts; students in data analytics and knowledge discovery; and other data professionals working at the R&D and implementation levels. Offers a range of data integration solutions enabling you to focus on what is most relevant to the problem at hand Enables you to build your own algorithms and implement your own data integration applications

Principles of Big Data

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Publisher : Newnes
ISBN 13 : 0124047246
Total Pages : 288 pages
Book Rating : 4.1/5 (24 download)

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Book Synopsis Principles of Big Data by : Jules J. Berman

Download or read book Principles of Big Data written by Jules J. Berman and published by Newnes. This book was released on 2013-05-20 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes of complex data, and how to achieve data permanence when the content of the data is constantly changing. General methods for data verification and validation, as specifically applied to Big Data resources, are stressed throughout the book. The book demonstrates how adept analysts can find relationships among data objects held in disparate Big Data resources, when the data objects are endowed with semantic support (i.e., organized in classes of uniquely identified data objects). Readers will learn how their data can be integrated with data from other resources, and how the data extracted from Big Data resources can be used for purposes beyond those imagined by the data creators. Learn general methods for specifying Big Data in a way that is understandable to humans and to computers Avoid the pitfalls in Big Data design and analysis Understand how to create and use Big Data safely and responsibly with a set of laws, regulations and ethical standards that apply to the acquisition, distribution and integration of Big Data resources

Principles of Database Management

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Publisher : Cambridge University Press
ISBN 13 : 1107186129
Total Pages : 817 pages
Book Rating : 4.1/5 (71 download)

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Book Synopsis Principles of Database Management by : Wilfried Lemahieu

Download or read book Principles of Database Management written by Wilfried Lemahieu and published by Cambridge University Press. This book was released on 2018-07-12 with total page 817 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introductory, theory-practice balanced text teaching the fundamentals of databases to advanced undergraduates or graduate students in information systems or computer science.

Principles of Distributed Database Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 1441988343
Total Pages : 856 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Principles of Distributed Database Systems by : M. Tamer Özsu

Download or read book Principles of Distributed Database Systems written by M. Tamer Özsu and published by Springer Science & Business Media. This book was released on 2011-02-24 with total page 856 pages. Available in PDF, EPUB and Kindle. Book excerpt: This third edition of a classic textbook can be used to teach at the senior undergraduate and graduate levels. The material concentrates on fundamental theories as well as techniques and algorithms. The advent of the Internet and the World Wide Web, and, more recently, the emergence of cloud computing and streaming data applications, has forced a renewal of interest in distributed and parallel data management, while, at the same time, requiring a rethinking of some of the traditional techniques. This book covers the breadth and depth of this re-emerging field. The coverage consists of two parts. The first part discusses the fundamental principles of distributed data management and includes distribution design, data integration, distributed query processing and optimization, distributed transaction management, and replication. The second part focuses on more advanced topics and includes discussion of parallel database systems, distributed object management, peer-to-peer data management, web data management, data stream systems, and cloud computing. New in this Edition: • New chapters, covering database replication, database integration, multidatabase query processing, peer-to-peer data management, and web data management. • Coverage of emerging topics such as data streams and cloud computing • Extensive revisions and updates based on years of class testing and feedback Ancillary teaching materials are available.

Principles of Data Wrangling

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491938870
Total Pages : 117 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Principles of Data Wrangling by : Tye Rattenbury

Download or read book Principles of Data Wrangling written by Tye Rattenbury and published by "O'Reilly Media, Inc.". This book was released on 2017-06-29 with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt: A key task that any aspiring data-driven organization needs to learn is data wrangling, the process of converting raw data into something truly useful. This practical guide provides business analysts with an overview of various data wrangling techniques and tools, and puts the practice of data wrangling into context by asking, "What are you trying to do and why?" Wrangling data consumes roughly 50-80% of an analyst’s time before any kind of analysis is possible. Written by key executives at Trifacta, this book walks you through the wrangling process by exploring several factors—time, granularity, scope, and structure—that you need to consider as you begin to work with data. You’ll learn a shared language and a comprehensive understanding of data wrangling, with an emphasis on recent agile analytic processes used by many of today’s data-driven organizations. Appreciate the importance—and the satisfaction—of wrangling data the right way. Understand what kind of data is available Choose which data to use and at what level of detail Meaningfully combine multiple sources of data Decide how to distill the results to a size and shape that can drive downstream analysis

Data and Information Quality

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Author :
Publisher : Springer
ISBN 13 : 3319241060
Total Pages : 520 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Data and Information Quality by : Carlo Batini

Download or read book Data and Information Quality written by Carlo Batini and published by Springer. This book was released on 2016-03-23 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a systematic and comparative description of the vast number of research issues related to the quality of data and information. It does so by delivering a sound, integrated and comprehensive overview of the state of the art and future development of data and information quality in databases and information systems. To this end, it presents an extensive description of the techniques that constitute the core of data and information quality research, including record linkage (also called object identification), data integration, error localization and correction, and examines the related techniques in a comprehensive and original methodological framework. Quality dimension definitions and adopted models are also analyzed in detail, and differences between the proposed solutions are highlighted and discussed. Furthermore, while systematically describing data and information quality as an autonomous research area, paradigms and influences deriving from other areas, such as probability theory, statistical data analysis, data mining, knowledge representation, and machine learning are also included. Last not least, the book also highlights very practical solutions, such as methodologies, benchmarks for the most effective techniques, case studies, and examples. The book has been written primarily for researchers in the fields of databases and information management or in natural sciences who are interested in investigating properties of data and information that have an impact on the quality of experiments, processes and on real life. The material presented is also sufficiently self-contained for masters or PhD-level courses, and it covers all the fundamentals and topics without the need for other textbooks. Data and information system administrators and practitioners, who deal with systems exposed to data-quality issues and as a result need a systematization of the field and practical methods in the area, will also benefit from the combination of concrete practical approaches with sound theoretical formalisms.

Developing High Quality Data Models

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Publisher : Elsevier
ISBN 13 : 0123751071
Total Pages : 408 pages
Book Rating : 4.1/5 (237 download)

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Book Synopsis Developing High Quality Data Models by : Matthew West

Download or read book Developing High Quality Data Models written by Matthew West and published by Elsevier. This book was released on 2011-02-07 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Developing High Quality Data Models provides an introduction to the key principles of data modeling. It explains the purpose of data models in both developing an Enterprise Architecture and in supporting Information Quality; common problems in data model development; and how to develop high quality data models, in particular conceptual, integration, and enterprise data models. The book is organized into four parts. Part 1 provides an overview of data models and data modeling including the basics of data model notation; types and uses of data models; and the place of data models in enterprise architecture. Part 2 introduces some general principles for data models, including principles for developing ontologically based data models; and applications of the principles for attributes, relationship types, and entity types. Part 3 presents an ontological framework for developing consistent data models. Part 4 provides the full data model that has been in development throughout the book. The model was created using Jotne EPM Technologys EDMVisualExpress data modeling tool. This book was designed for all types of modelers: from those who understand data modeling basics but are just starting to learn about data modeling in practice, through to experienced data modelers seeking to expand their knowledge and skills and solve some of the more challenging problems of data modeling. Uses a number of common data model patterns to explain how to develop data models over a wide scope in a way that is consistent and of high quality Offers generic data model templates that are reusable in many applications and are fundamental for developing more specific templates Develops ideas for creating consistent approaches to high quality data models

Data Mesh

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492092363
Total Pages : 387 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Data Mesh by : Zhamak Dehghani

Download or read book Data Mesh written by Zhamak Dehghani and published by "O'Reilly Media, Inc.". This book was released on 2022-03-08 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many enterprises are investing in a next-generation data lake, hoping to democratize data at scale to provide business insights and ultimately make automated intelligent decisions. In this practical book, author Zhamak Dehghani reveals that, despite the time, money, and effort poured into them, data warehouses and data lakes fail when applied at the scale and speed of today's organizations. A distributed data mesh is a better choice. Dehghani guides architects, technical leaders, and decision makers on their journey from monolithic big data architecture to a sociotechnical paradigm that draws from modern distributed architecture. A data mesh considers domains as a first-class concern, applies platform thinking to create self-serve data infrastructure, treats data as a product, and introduces a federated and computational model of data governance. This book shows you why and how. Examine the current data landscape from the perspective of business and organizational needs, environmental challenges, and existing architectures Analyze the landscape's underlying characteristics and failure modes Get a complete introduction to data mesh principles and its constituents Learn how to design a data mesh architecture Move beyond a monolithic data lake to a distributed data mesh.

Seismic Attributes as the Framework for Data Integration Throughout the Oilfield Life Cycle

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Author :
Publisher : SEG Books
ISBN 13 : 1560803517
Total Pages : 509 pages
Book Rating : 4.5/5 (68 download)

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Book Synopsis Seismic Attributes as the Framework for Data Integration Throughout the Oilfield Life Cycle by : Kurt J. Marfurt

Download or read book Seismic Attributes as the Framework for Data Integration Throughout the Oilfield Life Cycle written by Kurt J. Marfurt and published by SEG Books. This book was released on 2018-01-31 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt: Useful attributes capture and quantify key components of the seismic amplitude and texture for subsequent integration with well log, microseismic, and production data through either interactive visualization or machine learning. Although both approaches can accelerate and facilitate the interpretation process, they can by no means replace the interpreter. Interpreter “grayware” includes the incorporation and validation of depositional, diagenetic, and tectonic deformation models, the integration of rock physics systematics, and the recognition of unanticipated opportunities and hazards. This book is written to accompany and complement the 2018 SEG Distinguished Instructor Short Course that provides a rapid overview of how 3D seismic attributes provide a framework for data integration over the life of the oil and gas field. Key concepts are illustrated by example, showing modern workflows based on interactive interpretation and display as well as those aided by machine learning.

Data Lakes

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Publisher : John Wiley & Sons
ISBN 13 : 1786305852
Total Pages : 244 pages
Book Rating : 4.7/5 (863 download)

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Book Synopsis Data Lakes by : Anne Laurent

Download or read book Data Lakes written by Anne Laurent and published by John Wiley & Sons. This book was released on 2020-06-03 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: The concept of a data lake is less than 10 years old, but they are already hugely implemented within large companies. Their goal is to efficiently deal with ever-growing volumes of heterogeneous data, while also facing various sophisticated user needs. However, defining and building a data lake is still a challenge, as no consensus has been reached so far. Data Lakes presents recent outcomes and trends in the field of data repositories. The main topics discussed are the data-driven architecture of a data lake; the management of metadata – supplying key information about the stored data, master data and reference data; the roles of linked data and fog computing in a data lake ecosystem; and how gravity principles apply in the context of data lakes. A variety of case studies are also presented, thus providing the reader with practical examples of data lake management.

SIAM: Principles and Practices for Service Integration and Management

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Author :
Publisher : Van Haren
ISBN 13 : 9401805784
Total Pages : 225 pages
Book Rating : 4.4/5 (18 download)

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Book Synopsis SIAM: Principles and Practices for Service Integration and Management by : Dave Armes

Download or read book SIAM: Principles and Practices for Service Integration and Management written by Dave Armes and published by Van Haren. This book was released on 2015-11-23 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: For trainers free additional material of this book is available. This can be found under the "Training Material" tab. Log in with your trainer account to access the material. The increasing complexity of the IT value chain and the rise of multi-vendor supplier ecosystems has led to the rise of Service Integration and Management (SIAM) as a new approach. Service Integration is the set of principles and practices, which facilitate the collaborative working relationships between service providers required to maximize the benefit of multi-sourcing. Service integration facilitates the linkage of services, the technology of which they are comprised and the delivery organizations and processes used to operate them, into a single operating model. SIAM is a relatively new and fast evolving concept. SIAM teams are being established in many organizations and in many different sectors, as part of a strategy for (out)sourcing IT services and other types of service. This is the first book that describes the concepts of SIAM. It is intended for: ITSM professionals working in integrated multi-sourced environments; Service customer managers, with a responsibility to secure the business supply of IT services in a multi-sourced environment; Service provider delivery managers with a responsibility to integrate multiple services to meet the demands of the customers business and users; Service provider managers with responsibilities to manage integrated services, participating in a multi-sourced environment.

Principles of Data Fusion Automation

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Publisher : Artech House Publishers
ISBN 13 : 9780890067604
Total Pages : 0 pages
Book Rating : 4.0/5 (676 download)

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Book Synopsis Principles of Data Fusion Automation by : Richard T. Antony

Download or read book Principles of Data Fusion Automation written by Richard T. Antony and published by Artech House Publishers. This book was released on 1995 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written with a minimum of technical jargon, this unique, easy-to-understand book strengthens your understanding of the key principles behind efficient approaches to data fusion problem-solving and database management system design, and connects these principles to help you design better, more effective fusion algorithms.

NoSQL Data Models

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Publisher : John Wiley & Sons
ISBN 13 : 1119544130
Total Pages : 284 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis NoSQL Data Models by : Olivier Pivert

Download or read book NoSQL Data Models written by Olivier Pivert and published by John Wiley & Sons. This book was released on 2018-07-27 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: The topic of NoSQL databases has recently emerged, to face the Big Data challenge, namely the ever increasing volume of data to be handled. It is now recognized that relational databases are not appropriate in this context, implying that new database models and techniques are needed. This book presents recent research works, covering the following basic aspects: semantic data management, graph databases, and big data management in cloud environments. The chapters in this book report on research about the evolution of basic concepts such as data models, query languages, and new challenges regarding implementation issues.

Getting Started with Talend Open Studio for Data Integration

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Author :
Publisher : Packt Publishing Ltd
ISBN 13 : 1849514739
Total Pages : 368 pages
Book Rating : 4.8/5 (495 download)

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Book Synopsis Getting Started with Talend Open Studio for Data Integration by : Jonathan Bowen

Download or read book Getting Started with Talend Open Studio for Data Integration written by Jonathan Bowen and published by Packt Publishing Ltd. This book was released on 2012-11-06 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical cookbook on building portals with GateIn including user security, gadgets, and every type of portlet possible.

Connected by Design

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Publisher : John Wiley & Sons
ISBN 13 : 1118907213
Total Pages : 261 pages
Book Rating : 4.1/5 (189 download)

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Book Synopsis Connected by Design by : Barry Wacksman

Download or read book Connected by Design written by Barry Wacksman and published by John Wiley & Sons. This book was released on 2014-04-28 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a world of fierce global competition and rapid technological change, traditional strategies for gaining market share and achieving efficiencies no longer yield the returns they once did. How can companies drive consumer preference and secure sustainable growth in this digital, social, and mobile age? The answer is through functional integration. Some of the world's most highly valued companies—including Amazon, Apple and Google—have harnessed this new business model to build highly interactive ecosystems of interrelated products and digital services, gaining new levels of customer engagement. Functional integration offers forward-looking brands a unique competitive edge by using transformative digital technologies to deliver high-value customer experiences, generate repeat business, and unlock lucrative new business-to-business revenue streams. Connected By Design is the first book to show business leaders and marketers exactly how to use functional integration to achieve transformative growth within any type of company. Based on R/GA's pioneering work with firms at the forefront of functional integration, Barry Wacksman and Chris Stutzman identify seven principles companies must follow in order to create and deliver new value for customers and capture new revenues. Connected By Design explains how functional integration drove the transformation of market-leading companies as diverse as Nike, General Motors, McCormick & Co., and Activision to establish authentic brand relationships with their customers, enter new categories, and develop new sources of income. With Connected by Design, any company can leverage technological disruption to redefine its mission and foster greater brand loyalty and engagement.

Principles of GNSS, Inertial, and Multisensor Integrated Navigation Systems, Second Edition

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Author :
Publisher : Artech House
ISBN 13 : 1608070050
Total Pages : 800 pages
Book Rating : 4.6/5 (8 download)

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Book Synopsis Principles of GNSS, Inertial, and Multisensor Integrated Navigation Systems, Second Edition by : Paul D. Groves

Download or read book Principles of GNSS, Inertial, and Multisensor Integrated Navigation Systems, Second Edition written by Paul D. Groves and published by Artech House. This book was released on 2013-04-01 with total page 800 pages. Available in PDF, EPUB and Kindle. Book excerpt: This newly revised and greatly expanded edition of the popular Artech House book Principles of GNSS, Inertial, and Multisensor Integrated Navigation Systems offers you a current and comprehensive understanding of satellite navigation, inertial navigation, terrestrial radio navigation, dead reckoning, and environmental feature matching . It provides both an introduction to navigation systems and an in-depth treatment of INS/GNSS and multisensor integration. The second edition offers a wealth of added and updated material, including a brand new chapter on the principles of radio positioning and a chapter devoted to important applications in the field. Other updates include expanded treatments of map matching, image-based navigation, attitude determination, acoustic positioning, pedestrian navigation, advanced GNSS techniques, and several terrestrial and short-range radio positioning technologies .. The book shows you how satellite, inertial, and other navigation technologies work, and focuses on processing chains and error sources. In addition, you get a clear introduction to coordinate frames, multi-frame kinematics, Earth models, gravity, Kalman filtering, and nonlinear filtering. Providing solutions to common integration problems, the book describes and compares different integration architectures, and explains how to model different error sources. You get a broad and penetrating overview of current technology and are brought up to speed with the latest developments in the field, including context-dependent and cooperative positioning.

Data Visualization

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Author :
Publisher : CRC Press
ISBN 13 : 1466585269
Total Pages : 619 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Data Visualization by : Alexandru C. Telea

Download or read book Data Visualization written by Alexandru C. Telea and published by CRC Press. This book was released on 2014-09-18 with total page 619 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designing a complete visualization system involves many subtle decisions. When designing a complex, real-world visualization system, such decisions involve many types of constraints, such as performance, platform (in)dependence, available programming languages and styles, user-interface toolkits, input/output data format constraints, integration with third-party code, and more. Focusing on those techniques and methods with the broadest applicability across fields, the second edition of Data Visualization: Principles and Practice provides a streamlined introduction to various visualization techniques. The book illustrates a wide variety of applications of data visualizations, illustrating the range of problems that can be tackled by such methods, and emphasizes the strong connections between visualization and related disciplines such as imaging and computer graphics. It covers a wide range of sub-topics in data visualization: data representation; visualization of scalar, vector, tensor, and volumetric data; image processing and domain modeling techniques; and information visualization. See What’s New in the Second Edition: Additional visualization algorithms and techniques New examples of combined techniques for diffusion tensor imaging (DTI) visualization, illustrative fiber track rendering, and fiber bundling techniques Additional techniques for point-cloud reconstruction Additional advanced image segmentation algorithms Several important software systems and libraries Algorithmic and software design issues are illustrated throughout by (pseudo)code fragments written in the C++ programming language. Exercises covering the topics discussed in the book, as well as datasets and source code, are also provided as additional online resources.