Data 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 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

Produk Detail:

  • Author : Qamar Shahbaz
  • Publisher : Morgan Kaufmann Publishers
  • Pages : 178 pages
  • ISBN : 9780128051856
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKData Mapping for Data Warehouse Design

Data Mapping for Data Warehouse Design

Data Mapping for Data Warehouse Design
  • Author : Qamar Shahbaz
  • Publisher : Morgan Kaufmann Publishers
  • Release : 10 December 2015
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

Data Mapping for Data Warehouse Design

Data Mapping for Data Warehouse Design
  • Author : Qamar Shahbaz
  • Publisher : Elsevier
  • Release : 08 December 2015
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 : International Conference on Conceptual Modeling (23 : 2004 : Shanghai)
  • Publisher : Springer Science & Business Media
  • Release : 27 October 2004
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.

Advanced Data Warehouse Design

Advanced Data Warehouse Design
  • Author : Elzbieta Malinowski,Esteban Zimányi
  • Publisher : Springer Science & Business Media
  • Release : 22 January 2008
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 Science & Business Media
  • Release : 19 August 2011
GET THIS BOOKData Warehousing and Knowledge Discovery

This book constitutes the refereed proceedings of the 13th International Conference on Data Warehousing and Knowledge Discovery, DaWak 2011 held in Toulouse, France in August/September 2011. The 37 revised full papers presented were carefully reviewed and selected from 119 submissions. The papers are organized in topical sections on physical and conceptual data warehouse models, data warehousing design methodologies and tools, data warehouse performance and optimization, pattern mining, matrix-based mining techniques and stream, sensor and time-series mining.

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 : 31 May 2008
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.

Data Warehousing and Knowledge Discovery

Data Warehousing and Knowledge Discovery
  • Author : A Min Tjoa
  • Publisher : Springer
  • Release : 21 September 2006
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.

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 : 23 October 2008
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

Recent Advances in Information and Communication Technology 2019

Recent Advances in Information and Communication Technology 2019
  • Author : Pongsarun Boonyopakorn,Phayung Meesad,Sunantha Sodsee,Herwig Unger
  • Publisher : Springer
  • Release : 11 May 2019
GET THIS BOOKRecent Advances in Information and Communication Technology 2019

This book presents the latest research on computer recognition systems. Over the last few years, computer scientists, engineers and users have been confronted with rapid changes in computer interfaces and in the abilities of the machines and the services available. And this is just the beginning: based on recent research findings, we can expect more significant advances and challenges in the next decade. Achievements in the area of artificial intelligence have made an important major contribution to these developments: Machine

Conceptual Modeling - ER 2004

Conceptual Modeling - ER 2004
  • Author : Paolo Atzeni,Wesley Chu,Hongjun Lu,Shuigeng Zhou,Tok Wang Ling
  • Publisher : Springer
  • Release : 17 January 2005
GET THIS BOOKConceptual Modeling - ER 2004

On behalf of the Organizing Committee, we would like to welcome you to the proccedings of the 23rd International Conference on Conceptual Modeling (ER 2004). This conference provided an international forum for technical discussion on conceptual modeling of information systems among researchers, developers and users. This was the third time that this conference was held in Asia; the?rst time was in Singapore in 1998 and the second time was in Yokohama, Japan in 2001. China is the third largest nation with the

Encyclopedia of Data Warehousing and Mining, Second Edition

Encyclopedia of Data Warehousing and Mining, Second Edition
  • Author : Wang, John
  • Publisher : IGI Global
  • Release : 31 August 2008
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,

Knowledge-Based and Intelligent Information and Engineering Systems

Knowledge-Based and Intelligent Information and Engineering Systems
  • Author : Juan D. Velásquez,Sebastián A. Ríos
  • Publisher : Springer
  • Release : 30 September 2009
GET THIS BOOKKnowledge-Based and Intelligent Information and Engineering Systems

On behalf of KES International and the KES 2009 Organising Committee we are very pleased to present these volumes, the proceedings of the 13th Inter- tional Conference on Knowledge-Based Intelligent Information and Engineering Systems, held at the Faculty of Physical Sciences and Mathematics, University of Chile, in Santiago de Chile. This year, the broad focus of the KES annual conference was on intelligent applications, emergent intelligent technologies and generic topics relating to the theory, methods, tools and techniques of intelligent systems.

Journal on Data Semantics XIII

Journal on Data Semantics XIII
  • Author : Il-Yeol Song
  • Publisher : Springer
  • Release : 18 January 2010
GET THIS BOOKJournal on Data Semantics XIII

The LNCS Journal on Data Semantics is devoted to the presentation of notable work that, in one way or another, addresses research and development on issues related to data semantics. The scope of the journal ranges from theories supporting the formal definition of semantic content to innovative domain-specific applications of semantic knowledge. The journal addresses researchers and advanced practitioners working on the semantic web, interoperability, mobile information services, data warehousing, knowledge representation and reasoning, conceptual database modeling, ontologies, and artificial