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The process of metadata modelling in industrial data warehouse environments

Claudio Jossen, Klaus R Dittrich
2007
The process is illustrated by a possible metadata model and schema, which were developed to meet the requirements of a complex data warehouse environment in Helsana Versicherungen AG, the largest Swiss  ...  The process is illustrated by a possible metadata model and schema, which were developed to meet the requirements of a complex data warehouse environment in Helsana Versicherungen AG, the largest Swiss  ...  Metadata model requirements in a data warehouse environment The use of data warehouses can be regarded as a kind of enterprise data integration, although some differences to other approaches of integration  ... 
doi:10.5167/uzh-77287 fatcat:e4texfl5izchfl2bnsp7ecrkny

Data Warehouse Metadata [chapter]

Panos Vassiliadis
2016 Encyclopedia of Database Systems  
Data warehouse metadata are pieces of information stored in one or more special-purpose metadata repositories that include (a) information on the contents of the data warehouse, their location and their  ...  The infrastructure complexity is only one part of the problem; the largest part of the problem lies in the management of the data that are involved in the warehouse environment.  ...  PROCESSES Standards. The development of standards for data warehouse metadata has been one of the holy grails in the area of data warehousing.  ... 
doi:10.1007/978-1-4899-7993-3_912-2 fatcat:3hm3haf5xvdx5ccawyo2rxh5fu

Data Warehouse Metadata [chapter]

Tore Risch, Turkmen Canli, Ashfaq Khokhar, Jun Yang, Kamesh Munagala, Adam Silberstein, Panos K. Chrysanthis, Evaggelia Pitoura, Venkatesh Ganti, Amol Deshpande, Hong-Hai Do, James Caverlee (+156 others)
2009 Encyclopedia of Database Systems  
SYNONYMS None DEFINITION Data warehouse metadata are pieces of information stored in one or more special-purpose metadata repositories that include (a) information on the contents of the data warehouse  ...  , their location and their structure, (b) information on the processes that take place in the data warehouse back-stage, concerning the refreshment of the warehouse with clean, up-to-date, semantically  ...  In Fig. 1 , the vertical links represent levels of abstraction: the data warehouse metadata repository, depicted in the middle layer, is an abstraction of the way the warehouse environment is structured  ... 
doi:10.1007/978-0-387-39940-9_912 fatcat:wggerw42izhjbp4npesg36t2xm

A PROPOSAL OF DATA QUALITY FOR DATA WAREHOUSES ENVIRONMENT

Leo Willyanto Santoso, Kartika Gunadi
2006 Jurnal Informatika  
This paper describes a study which explores modeling of the dynamic parts of the data warehouse.  ...  The quality of the data provided is critical to the success of data warehousing initiatives.  ...  Three Perspectives of The Process Metamodel Yet, there are also design processes in such an environment, which do not seem to fit this model so smoothly.  ... 
doaj:4cc7ed91aff549f588020c1fa996f3a9 fatcat:nabf4i35xvhltki5kpar6a42m4

A Framework for Tool—Independent Modeling of Data Acquisition Processes for Data Warehousing [chapter]

Arne Harren, Heiko Tapken
2002 Lecture Notes in Computer Science  
Therefore, comprehensibility and maintainability of data acquisition processes are crucial to the long-time success of a data warehouse.  ...  Within the scope of this paper we sketch some aspects of our framework for tool-independent data acquisition design including the framework's architecture, the underlying design process model, and the  ...  Besides the data warehouse database, enterprise-wide data warehouse environments typically comprise multitudes of components which store data, e.g. data sources, staging areas, operational data stores,  ... 
doi:10.1007/3-540-47961-9_56 fatcat:6l6rjxmxozdrxnzdpozmtk64g4

A Framework for Semi-Automated Implementation of Multidimensional Data Models

Ilona Mariana NAGY
2012 Database Systems Journal  
Thus, we present a framework for semi-automated implementation of multidimensional data models and introduce an automation prototype intended to reduce the time of data structures generation in the warehousing  ...  Costs derive mostly from the amount of time invested in the design and physical implementation of these large projects, time that we consider, may be decreased through the automation of several processes  ...  in order to enable information modelling in a structured form within the data warehouse environment.  ... 
doaj:f9637b058a08414d864bd540a79bff1e fatcat:kufj46vpbnfv3oqj3hxrcxqxgq

Data Warehousing and OLAP Technology

Vinayak Bhardwaj, Rincy Jacob
2014 Journal of advance research in computer science & enigneering  
Data warehousing and Online Analytical Processing (OLAP) are essential elements of decision support, which has increasingly become a focus of the database industry.  ...  The paper introduces the data warehouse and online analysis process with an accent on their new requirements.  ...  When used in a data warehouse, metadata are the data that define warehouse objects. Metadata are created for the data names and definitions of the given warehouse.  ... 
doi:10.53555/nncse.v1i3.521 fatcat:frwfdan6gnhezeae2h3hvpermu

A Software Architecture for XML-Based Metadata Interchange in Data Warehouse Systems [chapter]

Gunnar Auth, Eitel von Maur
2002 Lecture Notes in Computer Science  
Interchanging metadata between software components of a data warehouse environment is the foundation for leveraging the various benefits of an integrated metadata management for data warehousing.  ...  Besides a common understanding of metadata syntax and semantics, both a standard interchange language and an interchange mechanism for metadata are needed.  ...  Furthermore, the potential of metadata to automate development, maintenance, and administration processes will be investigated in more depth.  ... 
doi:10.1007/3-540-36128-6_1 fatcat:cvraztumgfchdg7mlv6rfyl6ni

Data Warehousing Systems: Foundations and Architectures [chapter]

Il-Yeol Song
2016 Encyclopedia of Database Systems  
These needs resulted in the development of a new breed of database systems that can process complex decisionmaking queries against integrated, historical, atomic data.  ...  The most widely cited definition of a DW is from Inmon [3] who states that "a data warehouse is a subject-oriented, integrated, nonvolatile, and time-variant collection of data in support of management's  ...  Interactive data analysis of the data in a DW environment is called online analytic processing (OLAP).  ... 
doi:10.1007/978-1-4899-7993-3_121-3 fatcat:332r2eeytbfodh5fj2eeoyquae

Ontology based data warehouse modeling and managing ecology of human body for disease and drug prescription management

Shastri L. Nimmagadda, Sashi K. Nimmagadda, Heinz Dreher
2008 2008 2nd IEEE International Conference on Digital Ecosystems and Technologies  
WAREHOUSING OF ONTOLOGY MODELS This is a data warehouse [1] , with multidimensional metadata on human anatomy, describing the collection, storage and processing of specific data.  ...  These conceptualized data dimensions are interconnected in a warehousing environment in the form of Metadata structure.  ... 
doi:10.1109/dest.2008.4635209 fatcat:72p4bhgftzgevh7g524sf5wnb4

DATA WAREHOUSING APPLICATIONS: AN ANALYTICAL TOOL FOR DECISION SUPPORT SYSTEM

MOHAMMED SHAFEEQ AHMED
2014 International Journal of Computer Science and Informatics  
The data warehouse supports an on-line analytical processing (OLAP), the functional and performance requirements of which are quite different from those of the on-line transaction processing (OLTP) applications  ...  Data warehouses provide on-line analytical processing (OLAP) tools for the interactive analysis of multidimensional data of varied granularities, which facilitates effective data mining.  ...  from the operational environment to the data warehouse environment.  ... 
doi:10.47893/ijcsi.2014.1163 fatcat:nmnqaxlhu5b2zfmzo5e7ht7fqi

Managing Metadata in Data Warehouses: Pitfalls and Possibilities

G. Shankaranarayanan, Adir Even
2004 Communications of the Association for Information Systems  
The inherent complexity of an integrated metadata repository is demonstrated by reviewing the metadata functionality required in a data warehouse: a decision support environment where its importance is  ...  Metadata addresses many aspects of the data warehouse functionality such as data dictionary, process mapping, and security administration.  ...  METADATA IN DATA WAREHOUSES To illustrate the role of metadata in decision environments, we examine its roles in the data warehouse, an environment where its necessity is widely acknowledged.  ... 
doi:10.17705/1cais.01413 fatcat:ws2bovqztrehzh3zhw44c2nuay

The Relevance of Meta Modeling and Data Warehouses for Executive Information Systems [chapter]

R. Kirkgoeze, A. Kurz, H. Reiterer, A. M. Tjoa
1997 Information and Communication Technologies in Tourism 1997  
In this paper we will discuss the importance of meta modeling for EIS and Data Warehouses as analytical base in EIS for decision support.  ...  Data Warehouse allows businesses to get data from operational databases and turn that data into useful information on which users can carry out their analysis.  ...  ;,"a warehousing and Metadata Modeling The Data Warehouse is the foundation of DSS processing [3] .  ... 
doi:10.1007/978-3-7091-6848-6_3 fatcat:mvthq6einzen7itieclxf2ltf4

On data integration workflows for an effective Management of multidimensional petroleum digital ecosystems in Arabian gulf basins

Shastri L. Nimmagadda, Heinz Dreher, Muhammad Nawaz, Kamran Laiq, Ahmed Sabry, Mukarram Ahmed
2010 4th IEEE International Conference on Digital Ecosystems and Technologies  
in a data warehouse environment.  ...  Ontology based warehousing and mining modeling are recommended for resolving the issues of scaling and formatting of multidimensional datasets, in which case, seismic and well-domain datasets are described  ...  in a warehouse environment The conceptual schema design process is typically an iterative process, refinement and integration of views that involve: 1.  ... 
doi:10.1109/dest.2010.5610599 fatcat:jibiffdjzba3fo7gkuucsck7oa

CRM Analytics Framework

Joseph P. Bigus, Upendra Chitnis, Prasad M. Deshpande, Ramakrishnan Kannan, Mukesh K. Mohania, Sumit Negi, Deepak Padmanabhan, Edwin P. D. Pednault, Soujanya Soni, Bipen K. Telkar, Brian F. White
2009 International Conference on Management of Data  
We describe our framework that makes use of industry standard software products and present a case study of its application in the financial domain.  ...  Standardization and metadata-driven development are used in the solution; this makes the framework accessible to nonexperts.  ...  Existence of Standard Data Models: We assume the existence of industry specific standard data models (e.g., the Banking Data Warehouse in Section 3.1).  ... 
dblp:conf/comad/BigusCDKMNPPSTW09 fatcat:e35komrb6nhu7anc5w7bo4dwku
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