Data Mapping for Data Warehouse Design

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Read or download book entitled Data Mapping for Data Warehouse Design written by Qamar Shahbaz and published by Elsevier in PDF, EPUB and Kindle Format. Click Get This Book button to download or read online books. Join over 650.000 happy Readers and READ as many books as you like. We cannot guarantee that Data Mapping for Data Warehouse Design book is available in the library.

  • Publisher : Elsevier
  • Release : 08 December 2015
  • ISBN : 9780128053355
  • Page : 180 pages
  • Rating : 4.5/5 from 103 voters

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Data mapping in a data warehouse is the process of creating a link between two distinct data models’ (source and target) tables/attributes. Data mapping is required at many stages of DW life-cycle to help save processor overhead; every stage has its own unique requirements and challenges. Therefore, many data warehouse professionals want to learn data mapping in order to move from an ETL (extract, transform, and load data between databases) developer to a data modeler role. Data Mapping for Data Warehouse Design provides basic and advanced knowledge about business intelligence and data warehouse concepts including real life scenarios that apply the standard techniques to projects across various domains. After reading this book, readers will understand the importance of data mapping across the data warehouse life cycle. Covers all stages of data warehousing and the role of data mapping in each Includes a data mapping strategy and techniques that can be applied to many situations Based on the author’s years of real-world experience designing solutions

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Data Mapping for Data Warehouse Design

Data Mapping for Data Warehouse Design
  • Author : Qamar Shahbaz
  • Publisher : Elsevier
  • Release Date : 2015-12-08
  • ISBN : 9780128053355
GET THIS BOOKData Mapping for Data Warehouse Design

Data mapping in a data warehouse is the process of creating a link between two distinct data models’ (source and target) tables/attributes. Data mapping is required at many stages of DW life-cycle to help save processor overhead; every stage has its own unique requirements and challenges. Therefore, many data warehouse professionals want to learn data mapping in order to move from an ETL (extract, transform, and load data between databases) developer to a data modeler role. Data Mapping for

Conceptual Modeling - ER 2004

Conceptual Modeling - ER 2004
  • Author : Paolo Atzeni,Wesley Chu,Hongjun Lu,Tok Wang Ling,Shuigeng Zhou
  • Publisher : Springer Science & Business Media
  • Release Date : 2004-10-27
  • ISBN : 9783540237235
GET THIS BOOKConceptual Modeling - ER 2004

This book constitutes the refereed proceedings of the 23rd International Conference on Conceptual Modeling, ER 2004, held in Shanghai, China, in November 2004. The 57 revised full papers presented together with three invited contributions and 8 demonstration and poster papers were carefully reviewed and selected from 295 submissions. The papers are organized in topical sections on conceptual modeling, datawarehouses, schema integration, data classification and mining, web-based information systems, query processing, web services, schema evolution, conceptual modeling applications, UML, XML modeling, and industrial presentations.

Learn Data Warehousing in 24 Hours

Learn Data Warehousing in 24 Hours
  • Author : Alex Nordeen
  • Publisher : Guru99
  • Release Date : 2020-09-15
  • ISBN : 0987654321XXX
GET THIS BOOKLearn Data Warehousing in 24 Hours

Unlike popular belief, Data Warehouse is not a single tool but a collection of software tools. A data warehouse will collect data from diverse sources into a single database. Using Business Intelligence tools, meaningful insights are drawn from this data. The best thing about “Learn Data Warehousing in 1 Day" is that it is small and can be completed in a day. With this e-book, you will be enough knowledge to contribute and participate in a Data warehouse implementation project. The

Advanced Data Warehouse Design

Advanced Data Warehouse Design
  • Author : Elzbieta Malinowski,Esteban Zimányi
  • Publisher : Springer Science & Business Media
  • Release Date : 2008-01-22
  • ISBN : 9783540744054
GET THIS BOOKAdvanced Data Warehouse Design

This exceptional work provides readers with an introduction to the state-of-the-art research on data warehouse design, with many references to more detailed sources. It offers a clear and a concise presentation of the major concepts and results in the subject area. Malinowski and Zimányi explain conventional data warehouse design in detail, and additionally address two innovative domains recently introduced to extend the capabilities of data warehouse systems: namely, the management of spatial and temporal information.

Data Warehousing and Knowledge Discovery

Data Warehousing and Knowledge Discovery
  • Author : Alfredo Cuzzocrea,Umeshwar Dayal
  • Publisher : Springer
  • Release Date : 2012-08-29
  • ISBN : 9783642325847
GET THIS BOOKData Warehousing and Knowledge Discovery

This book constitutes the refereed proceedings of the 14th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2012 held in Vienna, Austria, in September 2012. The 36 revised full papers presented were carefully reviewed and selected from 99 submissions. The papers are organized in topical sections on data warehouse design methodologies, ETL methodologies and tools, multidimensional data processing and management, data warehouse and OLAP extensions, data warehouse performance and optimization, data mining and knowledge discovery techniques, data mining and knowledge discovery applications, pattern

Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications

Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications
  • Author : Wang, John
  • Publisher : IGI Global
  • Release Date : 2008-05-31
  • ISBN : 9781599049526
GET THIS BOOKData Warehousing and Mining: Concepts, Methodologies, Tools, and Applications

In recent years, the science of managing and analyzing large datasets has emerged as a critical area of research. In the race to answer vital questions and make knowledgeable decisions, impressive amounts of data are now being generated at a rapid pace, increasing the opportunities and challenges associated with the ability to effectively analyze this data.

New Trends in Data Warehousing and Data Analysis

New Trends in Data Warehousing and Data Analysis
  • Author : Stanislaw Kozielski,Robert Wrembel
  • Publisher : Springer Science & Business Media
  • Release Date : 2008-10-23
  • ISBN : 9780387874319
GET THIS BOOKNew Trends in Data Warehousing and Data Analysis

Most of modern enterprises, institutions, and organizations rely on knowledge-based management systems. In these systems, knowledge is gained from data analysis. Today, knowledge-based management systems include data warehouses as their core components. Data integrated in a data warehouse are analyzed by the so-called On-Line Analytical Processing (OLAP) applications designed to discover trends, patterns of behavior, and anomalies as well as finding dependencies between data. Massive amounts of integrated data and the complexity of integrated data coming from many different sources

Building and Maintaining a Data Warehouse

Building and Maintaining a Data Warehouse
  • Author : Fon Silvers
  • Publisher : CRC Press
  • Release Date : 2008-03-18
  • ISBN : 9781420064636
GET THIS BOOKBuilding and Maintaining a Data Warehouse

As it is with building a house, most of the work necessary to build a data warehouse is neither visible nor obvious when looking at the completed product. While it may be easy to plan for a data warehouse that incorporates all the right concepts, taking the steps needed to create a warehouse that is as functional and user-friendly as it is theoreti

Data Warehousing and Knowledge Discovery

Data Warehousing and Knowledge Discovery
  • Author : A Min Tjoa
  • Publisher : Springer
  • Release Date : 2006-09-21
  • ISBN : 9783540377375
GET THIS BOOKData Warehousing and Knowledge Discovery

This book constitutes the refereed proceedings of the 8th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2006, held in conjunction with DEXA 2006. The book presents 53 revised full papers, organized in topical sections on ETL processing, materialized view, multidimensional design, OLAP and multidimensional model, cubes processing, data warehouse applications, mining techniques, frequent itemsets, mining data streams, ontology-based mining, clustering, advanced mining techniques, association rules, miscellaneous applications, and classification.

Mastering Data Warehouse Design

Mastering Data Warehouse Design
  • Author : Claudia Imhoff,Nicholas Galemmo,Jonathan G. Geiger
  • Publisher : John Wiley & Sons
  • Release Date : 2003-08-19
  • ISBN : 9780471480921
GET THIS BOOKMastering Data Warehouse Design

A cutting-edge response to Ralph Kimball's challenge to thedata warehouse community that answers some tough questions aboutthe effectiveness of the relational approach to datawarehousing Written by one of the best-known exponents of the Bill Inmonapproach to data warehousing Addresses head-on the tough issues raised by Kimball andexplains how to choose the best modeling technique for solvingcommon data warehouse design problems Weighs the pros and cons of relational vs. dimensional modelingtechniques Focuses on tough modeling problems, including creating andmaintaining keys and

Emerging Perspectives in Big Data Warehousing

Emerging Perspectives in Big Data Warehousing
  • Author : Taniar, David,Rahayu, Wenny
  • Publisher : IGI Global
  • Release Date : 2019-06-28
  • ISBN : 9781522555179
GET THIS BOOKEmerging Perspectives in Big Data Warehousing

The concept of a big data warehouse appeared in order to store moving data objects and temporal data information. Moving objects are geometries that change their position and shape continuously over time. In order to support spatio-temporal data, a data model and associated query language is needed for supporting moving objects. Emerging Perspectives in Big Data Warehousing is an essential research publication that explores current innovative activities focusing on the integration between data warehousing and data mining with an emphasis

Encyclopedia of Data Warehousing and Mining, Second Edition

Encyclopedia of Data Warehousing and Mining, Second Edition
  • Author : Wang, John
  • Publisher : IGI Global
  • Release Date : 2008-08-31
  • ISBN : 9781605660110
GET THIS BOOKEncyclopedia of Data Warehousing and Mining, Second Edition

There are more than one billion documents on the Web, with the count continually rising at a pace of over one million new documents per day. As information increases, the motivation and interest in data warehousing and mining research and practice remains high in organizational interest. The Encyclopedia of Data Warehousing and Mining, Second Edition, offers thorough exposure to the issues of importance in the rapidly changing field of data warehousing and mining. This essential reference source informs decision makers,

Contemporary Issues in Database Design and Information Systems Development

Contemporary Issues in Database Design and Information Systems Development
  • Author : Siau, Keng
  • Publisher : IGI Global
  • Release Date : 2007-04-30
  • ISBN : 9781599042916
GET THIS BOOKContemporary Issues in Database Design and Information Systems Development

"This book presents the latest research ideas and topics on databases and software development. It provides a representation of top notch research in all areas of database and information systems development"--Provided by publisher.

Agile Data Warehousing for the Enterprise

Agile Data Warehousing for the Enterprise
  • Author : Ralph Hughes
  • Publisher : Newnes
  • Release Date : 2015-09-19
  • ISBN : 9780123965189
GET THIS BOOKAgile Data Warehousing for the Enterprise

Building upon his earlier book that detailed agile data warehousing programming techniques for the Scrum master, Ralph's latest work illustrates the agile interpretations of the remaining software engineering disciplines: Requirements management benefits from streamlined templates that not only define projects quickly, but ensure nothing essential is overlooked. Data engineering receives two new "hyper modeling" techniques, yielding data warehouses that can be easily adapted when requirements change without having to invest in ruinously expensive data-conversion programs. Quality assurance advances with not

The Data Warehouse Toolkit

The Data Warehouse Toolkit
  • Author : Ralph Kimball,Margy Ross
  • Publisher : John Wiley & Sons
  • Release Date : 2011-08-08
  • ISBN : 9781118082140
GET THIS BOOKThe Data Warehouse Toolkit

This old edition was published in 2002. The current and final edition of this book is The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition which was published in 2013 under ISBN: 9781118530801. The authors begin with fundamental design recommendations and gradually progress step-by-step through increasingly complex scenarios. Clear-cut guidelines for designing dimensional models are illustrated using real-world data warehouse case studies drawn from a variety of business application areas and industries, including: Retail sales and e-commerce Inventory management Procurement