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Principles of Data Integration

Principles of Data Integration Book
Author : AnHai Doan,Alon Halevy,Zachary Ives
Publisher : Elsevier
Release : 2012-06-25
ISBN : 0123914795
Language : En, Es, Fr & De

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Book Description :

How do you approach answering queries when your data is stored in multiple databases that were designed independently by different people? This is first comprehensive book on data integration and is 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. Data integration is the problem of answering queries that span multiple data sources (e.g., databases, web pages). Data integration problems surface in multiple contexts, including enterprise information integration, query processing on the Web, coordination between government agencies and collaboration between scientists. In some cases, data integration is the key bottleneck to making progress in a field. The authors provide a working knowledge of data integration concepts and techniques, giving you the tools you need to develop a complete and concise package of algorithms and applications. 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

Data Integration Blueprint and Modeling

Data Integration Blueprint and Modeling Book
Author : Anthony David Giordano
Publisher : Pearson Education
Release : 2010-12-27
ISBN : 0137085281
Language : En, Es, Fr & De

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Book Description :

Making Data Integration Work: How to Systematically Reduce Cost, Improve Quality, and Enhance Effectiveness Today’s enterprises are investing massive resources in data integration. Many possess thousands of point-to-point data integration applications that are costly, undocumented, and difficult to maintain. Data integration now accounts for a major part of the expense and risk of typical data warehousing and business intelligence projects--and, as businesses increasingly rely on analytics, the need for a blueprint for data integration is increasing now more than ever. This book presents the solution: a clear, consistent approach to defining, designing, and building data integration components to reduce cost, simplify management, enhance quality, and improve effectiveness. Leading IBM data management expert Tony Giordano brings together best practices for architecture, design, and methodology, and shows how to do the disciplined work of getting data integration right. Mr. Giordano begins with an overview of the “patterns” of data integration, showing how to build blueprints that smoothly handle both operational and analytic data integration. Next, he walks through the entire project lifecycle, explaining each phase, activity, task, and deliverable through a complete case study. Finally, he shows how to integrate data integration with other information management disciplines, from data governance to metadata. The book’s appendices bring together key principles, detailed models, and a complete data integration glossary. Coverage includes Implementing repeatable, efficient, and well-documented processes for integrating data Lowering costs and improving quality by eliminating unnecessary or duplicative data integrations Managing the high levels of complexity associated with integrating business and technical data Using intuitive graphical design techniques for more effective process and data integration modeling Building end-to-end data integration applications that bring together many complex data sources

Principles of Distributed Database Systems

Principles of Distributed Database Systems Book
Author : M. Tamer Özsu,Patrick Valduriez
Publisher : Springer Science & Business Media
Release : 2011-02-24
ISBN : 9781441988348
Language : En, Es, Fr & De

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Book Description :

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 Database Management

Principles of Database Management Book
Author : Wilfried Lemahieu,Seppe vanden Broucke,Bart Baesens
Publisher : Cambridge University Press
Release : 2018-07-12
ISBN : 1316946754
Language : En, Es, Fr & De

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Book Description :

This comprehensive textbook teaches the fundamentals of database design, modeling, systems, data storage, and the evolving world of data warehousing, governance and more. Written by experienced educators and experts in big data, analytics, data quality, and data integration, it provides an up-to-date approach to database management. This full-color, illustrated text has a balanced theory-practice focus, covering essential topics, from established database technologies to recent trends, like Big Data, NoSQL, and more. Fundamental concepts are supported by real-world examples, query and code walkthroughs, and figures, making it perfect for introductory courses for advanced undergraduates and graduate students in information systems or computer science. These examples are further supported by an online playground with multiple learning environments, including MySQL; MongoDB; Neo4j Cypher; and tree structure visualization. This combined learning approach connects key concepts throughout the text to the important, practical tools to get started in database management.

Principles of Data Wrangling

Principles of Data Wrangling Book
Author : Tye Rattenbury,Joseph M. Hellerstein,Jeffrey Heer,Sean Kandel,Connor Carreras
Publisher : "O'Reilly Media, Inc."
Release : 2017-06-29
ISBN : 1491938870
Language : En, Es, Fr & De

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Book Description :

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 Resource Integration

Data Resource Integration Book
Author : Michael H. Brackett
Publisher : Technics Publications
Release : 2012-05-01
ISBN : 1634620550
Language : En, Es, Fr & De

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Book Description :

Are you struggling with a disparate data resource? Are there multiple existences of the same business fact scattered throughout the data resource? Are those multiple existences out of synch with each other? Do you have difficulty finding the data you need to support business activities? Do the data you find have poor quality? If the answer to any of these questions is Yes, then you need this book to guide you toward creating an integrated data resource. Most public and private sector organizations have a disparate data resource that was created over many years. That disparate data resource contains multiple existences of business facts that are out of synch with each other, are of poor quality, and are difficult to locate. The traditional approach to dealing with a disparate data resource is to perform periodic and temporary data integration to support a specific application or business activity. Those piecemeal data integration efforts may meet a current need, but seldom solve the underlying problems with a disparate data resource, and sometimes make the situation worse. Data Resource Integration explains how to go about understanding and resolving a disparate data resource and creating a comparate data resource that fully meets an organization’s current and future business information demand. It builds on Data Resource Simplexity, which described how to stop the burgeoning data disparity. It explains the concepts, principles, and techniques for understanding a disparate data resource within the context of a common data architecture, and resolving that disparity with minimum impact on the business. Like Data Resource Simplexity, Michael Brackett draws on five decades of data management experience building and managing data resources, and resolving disparate data resources in both public and private sector organizations. He leverages theories, concepts, principles, and techniques from a wide variety of disciplines, such as human dynamics, mathematics, physics, chemistry, and biology, and applies them to the process of understanding and resolving a disparate data resource. He shows you how to approach and resolve a disparate data resource, and build a comparate data resource that fully supports the business.

Multisource Data Integration in Remote Sensing

Multisource Data Integration in Remote Sensing Book
Author : Anonim
Publisher : Unknown
Release : 1991
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Multisource Data Integration in Remote Sensing book written by , available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Principles of Big Data

Principles of Big Data Book
Author : Jules J. Berman
Publisher : Newnes
Release : 2013-05-20
ISBN : 0124047246
Language : En, Es, Fr & De

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Book Description :

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

Data and Information Quality

Data and Information Quality Book
Author : Carlo Batini,Monica Scannapieco
Publisher : Springer
Release : 2016-03-23
ISBN : 3319241060
Language : En, Es, Fr & De

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Book Description :

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.

Principles of Management Information Systems

Principles of Management Information Systems Book
Author : George M. Scott
Publisher : McGraw-Hill College
Release : 1986
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Principles of Management Information Systems book written by George M. Scott, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Principles of Data Fusion Automation

Principles of Data Fusion Automation Book
Author : Richard T. Antony
Publisher : Artech House on Demand
Release : 1995-01-01
ISBN : 9780890067604
Language : En, Es, Fr & De

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Book Description :

Multisensor fusion systems are only practical if the algorithms used are practical and effective, and if there is efficient database support. The first part of this book discusses a wide range of issues related to the development of robust, context-sensitive, and efficient data fusion algorithms. The second part addresses database requirements, structures, and issues related to achieving overall computational efficiency. Featuring highly accessible notation, the processing model and database issues presented in the text are aimed at system developers working in sensor fusion, automatic target recognition, multiple-target tracking, robotic control, automated image understanding, and large-scale integration and fabrication.

Social Sciences in Transition

Social Sciences in Transition Book
Author : Heinrich Best,Ulrike Becker,Arnaud F. Marks
Publisher : Unknown
Release : 1996
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Social Sciences in Transition book written by Heinrich Best,Ulrike Becker,Arnaud F. Marks, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Proceedings of the Twenty third ACM SIGMOD SIGACT SIGART Symposium on Principles of Database Systems

Proceedings of the Twenty third ACM SIGMOD SIGACT SIGART Symposium on Principles of Database Systems Book
Author : Association for Computing Machinery. Special Interest Group on Management of Data
Publisher : Unknown
Release : 2004
ISBN : 9781581138580
Language : En, Es, Fr & De

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Book Description :

Download Proceedings of the Twenty third ACM SIGMOD SIGACT SIGART Symposium on Principles of Database Systems book written by Association for Computing Machinery. Special Interest Group on Management of Data, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

International Journal of Market Research

International Journal of Market Research Book
Author : Anonim
Publisher : Unknown
Release : 2007
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download International Journal of Market Research book written by , available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Principles of Business Data Processing with MIS

Principles of Business Data Processing with MIS Book
Author : V. Thomas Dock,Edward L. Essick
Publisher : Glencoe/McGraw-Hill School Publishing Company
Release : 1981
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Principles of Business Data Processing with MIS book written by V. Thomas Dock,Edward L. Essick, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Principles of Business Data Processing with MIS Including BASIC

Principles of Business Data Processing with MIS     Including BASIC Book
Author : V. Thomas Dock,Edward L. Essick
Publisher : Unknown
Release : 1981
ISBN : 9780574213051
Language : En, Es, Fr & De

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Book Description :

Download Principles of Business Data Processing with MIS Including BASIC book written by V. Thomas Dock,Edward L. Essick, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Pay as you go Data Cleaning and Integration

Pay as you go Data Cleaning and Integration Book
Author : Shawn R. Jeffery
Publisher : Unknown
Release : 2008
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Pay as you go Data Cleaning and Integration book written by Shawn R. Jeffery, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Proceedings of the 1999 ACM SIGMOD International Conference on Management of Data

Proceedings of the 1999 ACM SIGMOD International Conference on Management of Data Book
Author : Alex Delis,Christos Faloutsos,Shahram Ghandeharizadeh
Publisher : Unknown
Release : 1999
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Proceedings of the 1999 ACM SIGMOD International Conference on Management of Data book written by Alex Delis,Christos Faloutsos,Shahram Ghandeharizadeh, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Linked Data Management

Linked Data Management Book
Author : Andreas Harth,Katja Hose,Ralf Schenkel
Publisher : CRC Press
Release : 2014-05-01
ISBN : 1466582405
Language : En, Es, Fr & De

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Book Description :

Linked Data Management presents techniques for querying and managing Linked Data that is available on today’s Web. The book shows how the abundance of Linked Data can serve as fertile ground for research and commercial applications. The text focuses on aspects of managing large-scale collections of Linked Data. It offers a detailed introduction to Linked Data and related standards, including the main principles distinguishing Linked Data from standard database technology. Chapters also describe how to generate links between datasets and explain the overall architecture of data integration systems based on Linked Data. A large part of the text is devoted to query processing in different setups. After presenting methods to publish relational data as Linked Data and efficient centralized processing, the book explores lookup-based, distributed, and parallel solutions. It then addresses advanced topics, such as reasoning, and discusses work related to read-write Linked Data for system interoperation. Despite the publication of many papers since Tim Berners-Lee developed the Linked Data principles in 2006, the field lacks a comprehensive, unified overview of the state of the art. Suitable for both researchers and practitioners, this book provides a thorough, consolidated account of the new data publishing and data integration paradigm. While the book covers query processing extensively, the Linked Data abstraction furnishes more than a mechanism for collecting, integrating, and querying data from the open Web—the Linked Data technology stack also allows for controlled, sophisticated applications deployed in an enterprise environment.