Principles of Data Integration

Produk Detail:
  • Author : AnHai Doan
  • Publisher : Elsevier
  • Pages : 497 pages
  • ISBN : 0124160441
  • Rating : /5 from reviews
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Download or Read online Principles of Data Integration full in PDF, ePub and kindle. this book written by AnHai Doan and published by Elsevier which was released on 21 June 2021 with total page 497 pages. We cannot guarantee that Principles of Data Integration book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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 *Companion website with numerous project-based exercises and solutions and slides. Links to commercially available software allowing readers to build their own algorithms and implement their own data integration applications. Facebook page for reader input during and after publication.

Principles of Data Integration

Principles of Data Integration
  • Author : AnHai Doan,Alon Halevy,Zachary G. Ives
  • Publisher : Elsevier
  • Release : 21 June 2021
GET THIS BOOK Principles of Data Integration

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

Attribution Principles for Data Integration

Attribution Principles for Data Integration
  • Author : Thomas Yupoo Lee,Massachusetts Institute of Technology. Technology, Management, and Policy Program
  • Publisher : Unknown
  • Release : 21 June 2021
GET THIS BOOK Attribution Principles for Data Integration

(cont.) The policy perspective encompasses not only what and where but also integration architectures and the relationships between data providers and users. Information technologies separate the processes and products of data gathering from data selection and presentation. Where the latter is addressed by copyright, the former is not addressed at all. Based upon two traditional, legal-economic frameworks, the asymmetric Prisoner's Dilemma and Entitlement Theory, we argue for a policy of misappropriation to support integration and attribution for data.

Data Integration Blueprint and Modeling

Data Integration Blueprint and Modeling
  • Author : Anthony David Giordano
  • Publisher : Pearson Education
  • Release : 27 December 2010
GET THIS BOOK Data Integration Blueprint and Modeling

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

Data and Information Quality

Data and Information Quality
  • Author : Carlo Batini,Monica Scannapieco
  • Publisher : Springer
  • Release : 23 March 2016
GET THIS BOOK Data and Information Quality

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

Principles of CASE Tool Integration

Principles of CASE Tool Integration
  • Author : Alan W. Brown,David J. Carney,Edwin J. Morris,Dennis B. Smith,Paul F. Zarrella
  • Publisher : Oxford University Press
  • Release : 01 September 1994
GET THIS BOOK Principles of CASE Tool Integration

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

Principles of Data Wrangling

Principles of Data Wrangling
  • Author : Tye Rattenbury
  • Publisher : "O'Reilly Media, Inc."
  • Release : 29 June 2017
GET THIS BOOK Principles of Data Wrangling

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

Principles of Distributed Database Systems

Principles of Distributed Database Systems
  • Author : M. Tamer Özsu,Patrick Valduriez
  • Publisher : Springer Science & Business Media
  • Release : 24 February 2011
GET THIS BOOK Principles of Distributed Database Systems

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

Principles of Database Management

Principles of Database Management
  • Author : Wilfried Lemahieu,Seppe vanden Broucke,Bart Baesens
  • Publisher : Cambridge University Press
  • Release : 12 July 2018
GET THIS BOOK Principles of Database Management

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

Applying Soa Principles in Informatica

Applying Soa Principles in Informatica
  • Author : Keshav Vadrevu
  • Publisher : CreateSpace
  • Release : 02 June 2015
GET THIS BOOK Applying Soa Principles in Informatica

Applying Serivce Oriented Architecture (SOA) Principles in Informatica is an unique attempt to map SOA Design Principles to Informatica product architecture. This book does not provide any samples, but attempts map the SOA concepts to Informatica's ETL and Data Integration Concepts. This book assumes basic / no understanding of SOA principles, however it assumes that the reader has a basic understanding of SOA itself This book takes simple SOA concepts and discusses at beginner level on how these can be applied