Principles of Data Integration
Principles of Data Integration

Author: AnHai Doan

Publisher: Elsevier

Published: 2012-06-25

Total Pages: 522

ISBN-13: 0123914795

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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

Analysis of Integrated Data
Analysis of Integrated Data

Author: Li-Chun Zhang

Publisher: CRC Press

Published: 2019-04-18

Total Pages: 256

ISBN-13: 1498727999

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The advent of "Big Data" has brought with it a rapid diversification of data sources, requiring analysis that accounts for the fact that these data have often been generated and recorded for different reasons. Data integration involves combining data residing in different sources to enable statistical inference, or to generate new statistical data for purposes that cannot be served by each source on its own. This can yield significant gains for scientific as well as commercial investigations. However, valid analysis of such data should allow for the additional uncertainty due to entity ambiguity, whenever it is not possible to state with certainty that the integrated source is the target population of interest. Analysis of Integrated Data aims to provide a solid theoretical basis for this statistical analysis in three generic settings of entity ambiguity: statistical analysis of linked datasets that may contain linkage errors; datasets created by a data fusion process, where joint statistical information is simulated using the information in marginal data from non-overlapping sources; and estimation of target population size when target units are either partially or erroneously covered in each source. Covers a range of topics under an overarching perspective of data integration. Focuses on statistical uncertainty and inference issues arising from entity ambiguity. Features state of the art methods for analysis of integrated data. Identifies the important themes that will define future research and teaching in the statistical analysis of integrated data. Analysis of Integrated Data is aimed primarily at researchers and methodologists interested in statistical methods for data from multiple sources, with a focus on data analysts in the social sciences, and in the public and private sectors.

Big Data Integration Theory
Big Data Integration Theory

Author: Zoran Majkić

Publisher: Springer Science & Business Media

Published: 2014-01-23

Total Pages: 528

ISBN-13: 3319041568

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This book presents a novel approach to database concepts, describing a categorical logic for database schema mapping based on views, within a framework for database integration/exchange and peer-to-peer. Database mappings, database programming languages, and denotational and operational semantics are discussed in depth. An analysis method is also developed that combines techniques from second order logic, data modeling, co-algebras and functorial categorial semantics. Features: provides an introduction to logics, co-algebras, databases, schema mappings and category theory; describes the core concepts of big data integration theory, with examples; examines the properties of the DB category; defines the categorial RDB machine; presents full operational semantics for database mappings; discusses matching and merging operators for databases, universal algebra considerations and algebraic lattices of the databases; explores the relationship of the database weak monoidal topos w.r.t. intuitionistic logic.

Integrated Database Development and Design Guide. Version 2.0
Integrated Database Development and Design Guide. Version 2.0

Author: NAVAL INTELLIGENCE PROCESSING SYSTEMS SUPPORT ACTIVITY ALEXANDRIA VA.

Publisher:

Published: 1979

Total Pages: 592

ISBN-13:

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The NIPSSA Integrated Database Development and Design Guide is the result of several years of experience developing integrated database applications. It brings together into a structured methodology techniques which have survived trial by implementation. Some of the procedures within the Guide are relatively new and may require additional clarification. The Development of an integrated database is an expensive and highly detailed project. The speed with which applications can be added or enhanced is directly proportional to the analysis resources available. The most time-consuming part of the analysis is the definition of the data elements and their relationships. Once this is done the remainder of the design effort falls rapidly into place. The Guide provides a step-by-step set of instructions which lead to a subsystem implementation of the user's desired application. At the same time it will permit the user, who knows more about the data than anyone else, to perform the initial phases of the analysis. The Guide is meant to provide the complete picture and steps required to implement a database application. For this reason, all of the procedures to be followed by both user and Data Administration (DA) personnel are included.