Principles of Data Integration

Principles of Data Integration

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 ...

Author: AnHai Doan

Publisher: Elsevier

ISBN: 9780123914798

Category: Computers

Page: 520

View: 623

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
Categories: Computers

Principles of Distributed Database Systems

Principles of Distributed Database Systems

This third edition of a classic textbook can be used to teach at the senior undergraduate and graduate levels.

Author: M. Tamer Özsu

Publisher: Springer Science & Business Media

ISBN: 1441988343

Category: Computers

Page: 846

View: 578

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.
Categories: Computers

Principles of Database Management

Principles of Database Management

Introductory, theory-practice balanced text teaching the fundamentals of databases to advanced undergraduates or graduate students in information systems or computer science.

Author: Wilfried Lemahieu

Publisher: Cambridge University Press

ISBN: 9781107186125

Category: Computers

Page: 903

View: 463

Introductory, theory-practice balanced text teaching the fundamentals of databases to advanced undergraduates or graduate students in information systems or computer science.
Categories: Computers

Data Integration in the Life Sciences

Data Integration in the Life Sciences

Formal principles governing best practices in classification and definition have for
too long been neglected in the construction of biomedical ontologies, in ways
which have important negative consequences for data integration and ontology ...

Author: Erhard Rahm

Publisher: Springer Science & Business Media

ISBN: 9783540213000

Category: Computers

Page: 219

View: 603

This book constitutes the refereed proceedings of the First International Workshop on Data Integration in the Life Sciences, DILS 2004, held in Leipzig, Germany, in March 2004. The 13 revised full papers and 2 revised short papers presented were carefully reviewed and selected from many submissions. The papers are organized in topical sections on scientific and clinical workflows, ontologies and taxonomies, indexing and clustering, integration tools and systems, and integration techniques.
Categories: Computers

Data Resource Integration

Data Resource Integration

Disparate operational data are transformed to comparate operational data, and
may be transformed to comparate historical and comparate evaluational data.
Each of these data transformations follows the same principles and techniques.

Author: Michael H. Brackett

Publisher: Technics Publications

ISBN: 9781634620550

Category: Computers

Page: 580

View: 735

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.
Categories: Computers

Principles of CASE Tool Integration

Principles of CASE Tool Integration

Clearly, such tool interaction shows characteristics of both data integration (i.e., a
shared understanding of the data manipulated by the tools) and control
integration (i.e., a shared understanding of the mechanisms whereby one tool
can invoke ...

Author: Alan W. Brown

Publisher: Oxford University Press

ISBN: 0195357418

Category: Computers

Page: 288

View: 737

Computer Aided Software Engineering (CASE) tools typically support individual users in the automation of a set of tasks within a software development process. Such tools have helped organizations in their efforts to develop better software within budget and time constraints. However, many organizations are failing to take full advantage of CASE technology as they struggle to make coordinated use of collections of tools, often obtained at different times from different vendors. This book provides an in-depth analysis of the CASE tool integration problem, and describes practical approaches that can be used with current CASE technology to help your organization take greater advantage of integrated CASE.
Categories: Computers

Data Integration Blueprint and Modeling

Data Integration Blueprint and Modeling

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.

Author: Anthony David Giordano

Publisher: Pearson Education

ISBN: 9780137085286

Category: Computers

Page: 500

View: 531

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
Categories: Computers

Principles of Data Mining and Knowledge Discovery

Principles of Data Mining and Knowledge Discovery

We have proposed a dynamic integration technique to be used with ensembles
of classifiers. In this paper, the proposed dynamic integration technique is
applied with AdaBoost and bagging. The comparison results using several
datasets of ...

Author: Djamel A. Zighed

Publisher: Springer Science & Business Media

ISBN: 9783540410669

Category: Computers

Page: 701

View: 441

This book constitutes the refereed proceedings of the 4th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2000, held in Lyon, France in September 2000. The 86 revised papers included in the book correspond to the 29 oral presentations and 57 posters presented at the conference. They were carefully reviewed and selected from 147 submissions. The book offers topical sections on new directions, rules and trees, databases and reward-based learning, classification, association rules and exceptions, instance-based discovery, clustering, and time series analysis.
Categories: Computers

Advanced Principles for Improving Database Design Systems Modeling and Software Development

Advanced Principles for Improving Database Design  Systems Modeling  and Software Development

First, we present related work on data integration using semantics, and on
exploration of multi-dimensional data. Next, we present our research
methodology on semantic networks and pattern discovery with wavelet
transformations. Then, we ...

Author: Siau, Keng

Publisher: IGI Global

ISBN: 9781605661735

Category: Business & Economics

Page: 450

View: 551

"This book presents cutting-edge research and analysis of the most recent advancements in the fields of database systems and software development"--Provided by publisher.
Categories: Business & Economics

Data Integration in the Life Sciences

Data Integration in the Life Sciences

Next Generation Cancer Data Discovery, Access, and Integration Using Prizms
and Nanopublications James P. McCusker1 ... Network (CKAN) and Prizms, an
infrastructure to acquire, integrate, and publish data using Linked Data principles.

Author: Christopher J.O. Baker

Publisher: Springer

ISBN: 9783642394379

Category: Computers

Page: 141

View: 174

This book constitutes the refereed proceedings of the 9th International Conference on Data Integration in the Life Sciences, DILS 2013, held in Montreal, QC, Canada, in July 2013. The 10 revised papers included in this volume were carefully reviewed and selected from 23 submissions. The papers cover a range of important topics such as algorithms for ontology matching, interoperable frameworks for text mining using semantic web services, pipelines for genome-wide functional annotation, automation of pipelines providing data discovery and access to distributed resources, knowledge-driven querying-answer systems, prizms, nanopublications, electronic health records and linked data.
Categories: Computers

Principles of Data Mining and Knowledge Discovery

Principles of Data Mining and Knowledge Discovery

Data. Reduction. Using. Multiple. Models. Integration. Aleksandar Lazarevic and
Zoran Obradovic Center for Information Science and Technology, Temple
University, Room 303, Wachman Hall (038-24), 1805 N. Broad Street,
Philadelphia, PA ...

Author: Luc de Raedt

Publisher: Springer Science & Business Media

ISBN: 9783540425342

Category: Computers

Page: 514

View: 454

This book constitutes the refereed proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery, PKDD 2001, held in Freiburg, Germany, in September 2001. The 40 revised full papers presented together with four invited contributions were carefully reviewed and selected from close to 100 submissions. Among the topics addressed are hidden Markov models, text summarization, supervised learning, unsupervised learning, demographic data analysis, phenotype data mining, spatio-temporal clustering, Web-usage analysis, association rules, clustering algorithms, time series analysis, rule discovery, text categorization, self-organizing maps, filtering, reinforcemant learning, support vector machines, visual data mining, and machine learning.
Categories: Computers

Principles of Data Fusion Automation

Principles of Data Fusion Automation

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 ...

Author: Richard T. Antony

Publisher: Artech House on Demand

ISBN: 0890067600

Category: Computers

Page: 470

View: 863

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.
Categories: Computers

Designing Software Intensive Systems Methods and Principles

Designing Software Intensive Systems  Methods and Principles

Data integration is usually appropriate for the back-end (i.e., third tier) of a three-
tier enterprise architecture, where the data is long-lived and not transient. • The
business logic of a system is often proprietary and organizations tightly control
the ...

Author: Tiako, Pierre F.

Publisher: IGI Global

ISBN: 9781599047010

Category: Computers

Page: 582

View: 677

"This book addresses the complex issues associated with software engineering environment capabilities for designing real-time embedded software systems"--Provided by publisher.
Categories: Computers

Data Management a gentle introduction

Data Management  a gentle introduction

Piethein Strengholt is principle data architect at ABN AMRO. The simple idea that
underpins the architecture from sidebar 20 is that data moves from providing to
consuming applications via the digital integration and access layer and that data
 ...

Author: Bas van Gils

Publisher: Van Haren

ISBN: 9789401805551

Category: Education

Page: 306

View: 757

The overall objective of this book is to show that data management is an exciting and valuable capability that is worth time and effort. More specifically it aims to achieve the following goals: 1. To give a “gentle” introduction to the field of DM by explaining and illustrating its core concepts, based on a mix of theory, practical frameworks such as TOGAF, ArchiMate, and DMBOK, as well as results from real-world assignments. 2. To offer guidance on how to build an effective DM capability in an organization.This is illustrated by various use cases, linked to the previously mentioned theoretical exploration as well as the stories of practitioners in the field. The primary target groups are: busy professionals who “are actively involved with managing data”. The book is also aimed at (Bachelor’s/ Master’s) students with an interest in data management. The book is industry-agnostic and should be applicable in different industries such as government, finance, telecommunications etc. Typical roles for which this book is intended: data governance office/ council, data owners, data stewards, people involved with data governance (data governance board), enterprise architects, data architects, process managers, business analysts and IT analysts. The book is divided into three main parts: theory, practice, and closing remarks. Furthermore, the chapters are as short and to the point as possible and also make a clear distinction between the main text and the examples. If the reader is already familiar with the topic of a chapter, he/she can easily skip it and move on to the next.
Categories: Education

Ranking for Web Data Search Using On The Fly Data Integration

Ranking for Web Data Search Using On The Fly Data Integration

The information retrieval technology behind search relies so far primarily on
textual data and links between websites. Web search engines crawl and ... the
Web according to the Linked Data principles [67, 117, 120]. The underlying idea
of the ...

Author: Herzig, Daniel Markus

Publisher: KIT Scientific Publishing

ISBN: 9783731501367

Category:

Page: 218

View: 942

Categories:

Data Integration in the Life Sciences

Data Integration in the Life Sciences

This book constitutes the refereed proceedings of the 5th International Workshop on Data Integration in the Life Sciences, DILS 2008, held in Evry, France in June 2008.

Author: Amos Bairoch

Publisher: Springer Science & Business Media

ISBN: 9783540698272

Category: Computers

Page: 209

View: 107

This book constitutes the refereed proceedings of the 5th International Workshop on Data Integration in the Life Sciences, DILS 2008, held in Evry, France in June 2008. The 18 revised full papers presented together with 3 keynote talks and a tutorial paper were carefully reviewed and selected from 54 submissions. The papers adress all current issues in data integration and data management from the life science point of view and are organized in topical sections on Semantic Web for the life sciences, designing and evaluating architectures to integrate biological data, new architectures and experience on using systems, systems using technologies from the Semantic Web for the life sciences, mining integrated biological data, and new features of major resources for biomolecular data.
Categories: Computers

Principles of Data Wrangling

Principles of Data Wrangling

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?

Author: Tye Rattenbury

Publisher: "O'Reilly Media, Inc."

ISBN: 9781491938898

Category:

Page:

View: 136

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
Categories:

Performing Information Governance

Performing Information Governance

The data integration architecture process layers and landing zones are defined
as follows: • Extract/subscribe ... principles of “read once, write many” to ensure
that the impact on source systems is minimized and that the data lineage is ...

Author: Anthony David Giordano

Publisher: IBM Press

ISBN: 9780133385632

Category: Business & Economics

Page: 672

View: 626

Make Information Governance Work : Best Practices, Step-by-Step Tasks, and Detailed Deliverables Most enterprises recognize the crucial importance of effective information governance. However, few are satisfied with the value of their efforts to date. Information governance is difficult because it is a pervasive function, touching multiple processes, systems, and stakeholders. Fortunately, there are best practices that work. Now, a leading expert in the field offers a complete, step-by-step guide to successfully governing information in your organization. Using case studies and hands-on activities, Anthony Giordano fully illuminates the “who, what, how, and when” of information governance. He explains how core governance components link with other enterprise information management disciplines, and provides workable “job descriptions” for each project participant. Giordano helps you successfully integrate key data stewardship processes as you develop large-scale applications and Master Data Management (MDM) environments. Then, once you’ve deployed an information asset, he shows how to consistently get reliable regulatory and financial information from it. Performing Information Governance will be indispensable to CIOs and Chief Data Officers…data quality, metadata, and MDM specialists…anyone responsible for making information governance work. Coverage Includes Recognizing the hidden development and operational implications of information governance—and why it needs to be integrated in the broader organization Integrating information governance activities with transactional processing, BI, MDM, and other enterprise information management functions Establishing the information governance organization: defining roles, launching projects, and integrating with ongoing operations Performing information governance in transactional projects, including those using agile methods and COTS products Bringing stronger information governance to MDM: strategy, architecture, development, and beyond Governing information throughout your BI or Big Data project lifecycle Effectively performing ongoing information governance and data stewardship operational processes Auditing and enforcing data quality management in the context of enterprise information management Maintaining and evolving metadata management for maximum business value
Categories: Business & Economics

Integrating Advanced Computer Aided Design Manufacturing and Numerical Control Principles and Implementations

Integrating Advanced Computer Aided Design  Manufacturing  and Numerical Control  Principles and Implementations

Principles and Implementations Xu, Xun. been provided by ... It is too late to
integrate CAD with CAM when so-called features have been decided separately.
In general ... Data Integration is the ability to share part models (data files). This is
the ...

Author: Xu, Xun

Publisher: IGI Global

ISBN: 9781599047164

Category: Computers

Page: 424

View: 382

"This book presents basic principles of geometric modelling while featuring contemporary industrial case studies"--Provided by publisher.
Categories: Computers

Data Integration in the Life Sciences

Data Integration in the Life Sciences

Linked open data initiatives in ecology aim at promoting and sharing such
observational data at the web-scale. Here we present a web infrastructure,
named Thesauform, that fully exploits the key principles of the semantic web and
associated ...

Author: Helena Galhardas

Publisher: Springer

ISBN: 9783319085906

Category: Computers

Page: 151

View: 992

This book constitutes the refereed proceedings of the 10th International Conference on Data Integration in the Life Sciences, DILS 2014, held in Lisbon, Portugal, in July 2014. The 9 revised full papers and the 5 short papers included in this volume were carefully reviewed and selected from 20 submissions. The papers cover a range of important topics such as data integration platforms and applications; biodiversity data management; ontologies and visualization; linked data and query processing.
Categories: Computers