XBRL, UML and Databases: State of art
|
|
|
- Joleen Barton
- 10 years ago
- Views:
Transcription
1 XBRL, UML and Databases: State of art XIII European Banking Supervisors XBRL Workshop 24th - 25th November 200, Luxembourg Ignacio Santos & Elena Castro LABDA Group Carlos III University of Madrid
2 Summary Summary Introduction Multidimensional Data Model. Proposal.of Automation Conclusions Introduction. Multidimensional Data Model. Automation. Conclusions. 2
3 Summary Introduction Multidimensional Data Model. Proposal of Automization. Conclusions XML and Data Warehouse (DW) applications. extensible Business Reporting Language (XBRL), based on XML. XBRL represents business information, and it is multidimensional. The target is a "Data Warehouse". The objective is to analyze the semantics of taxonomies and instances, and then map this data model to the Multidimensional Data Model (Conceptual Model). 3
4 Summary Summary Introduction Multidimensional Data Model. Proposal of Automation. Conclusions Introduction. Multidimensional Data Model. Proposal of Automation. Conclusions. 4
5 0... Definition Label 0... Reference 0..* Dimension Document Instance XBRL Schema Formula 0..* 0..* 0... Presentation Rendering Calculation Figure.- UML design of XBRL Schemas and linkbases (DTS). 5
6 0..* Primary Item 0 * 0..* All/notAll Hypercube 0 * Typed dimension 0 * Explicit dimension 0.. Domain 0... Domain Default 0....*...* Member...* 0..* Figure 2.- Design the XDT model with UML. 6
7 P-FINREP (CEBS) Xproslb-types (BE) Es-be-p-FINREP (BE) Es-b-p-FINREP-rol (BE) Es-be-d-FINREP- -distribucion Es-be-FINREP-IS- BalanceSectorial Consolidado (BE) Es-be-t-FINREP-IS- BalanceSectorial Consolidado (BE) Figure 3.- Simplified UML diagram of the taxonomies of the 660 report. 7
8 Ifrs-gp Lab.xml Ifrs-gp ref.xml ifrs-gptyp xsd xpreslbtypel-es. xsd ifrs-gp xsd xpreslbtypelabeles.xml xbrl- Es-beinstance- FINREPxbrl-linkbase xsd rol.xsd 3..xsd Es-be-t-FINREP-IS- BalanceSectorilal Consolidado.xml xbrldt xsd P-FINREP xsd es-be-p- FINREP. xsd Es-be-p-FINREP- BalanceSectorialConsolidado.xsd Ref xsd P-FINREP references.xml P-FINREP Label.xml P-FINREP references.xml Es-be-t-FINREP-IS-BalanceSectorialConsolidado-presentation.xml restatedlabel.xsd Es-be-p-FINREP.IS.BalanceSectorial Consolidado-presentation.xml Es-be-p-FINREP.IS.BalanceSectorial Consolidado-definition.xml Es-be-p-FINREP.IS.BalanceSectorial Consolidado-Label.xml Es-be-d-FINREP-distribution-Presentation.xml Es-be-d-FINREP-distributionl-definicion.xml Es-be-d-FINREP-distribution-Label.xml Es-be-t-FINREP-IS-BalanceSectorilalConsolidado-definition.xml Es-be-t-FINREP-IS-BalanceSectorilalConsolidado-Label.xml Es-be-t-FINREP-IS-BalanceSectorilalConsolidado-reference.xml Es-be-d-FINREPdistribution.xml Figure 4.- UML Complete model design of the 660 report taxonomies. 8
9 Summary Summary Introduction Multidimensional Data Model. Proposal of Automation. Conclusions Introduction. Multidimensional Data Model. Proposal of Automation. Conclusions. 9
10 Fact Schema Dimension Fact attributes or measures Attribute of dimension facts Figure 5.- View of Dimensional table with Xwand 0f Fujitsu 0
11 Distribution Grupo Consolidable Otras entidades Entidades de Seguro Grupo Consolidable de Entidades de Crédito Total Activo Caja de depósitos en bancos centrales Cartera De Negociación Depósitos en entidades de Crédito Time Facts attribute Figure 6.- Dimensional graphic of the example 660 report («Balance Público Consolidado»).
12 DISTRIBUTION 660 report (Fact) Date Entity (Bamk or Entity Financial) (Fact attributes) «Activo caja de depósitos En bancos centrales» «Cartera de negociación» Methods Figure 7.- Multidimensional Data Model of the 660 report 2
13 Summary Summary Introduction Multidimensional Data Model. Proposal of Automation. Conclusions Introduction. Multidimensional Data Model. Proposal of Automation. Conclusions. 3
14 Metametamodels Multidimensional Transformations Logical Model Transformations XBRL 2. Dimen sions.0 Formula.0 MOLAP MOLAP PMT MDBMS Taxonomy Transfor mations Multidimensional Conceptual Model ROLAP ROLAP PRT RDBMS HOLAP HOLAP PHT HDBMS Universe of the Discurse Conceptual Model Logical Model Physical Model CIM PIM PSM Figue 8.-Global transformation of the XBRL metamodel. 4
15 Transformation from Conceptual Model to Logical Model MOLAP Transformation from Logical Model to Physical Model MOLAP Start Transformation from Taxonomies (UD) to Multidimensional Conceptual Model Transformation from Conceptual Model to Logical Model ROLAP Transformation from Logical Model to Physical Model ROLAP End Transformation from Conceptual Model to Logical Model HOLAP Transformation from Logical Model to Physical Model HOLAP Figue 9.- Activity Diagram of the transformation of XBRL Data Model to Multidimensional Data Modeling 5
16 Summary Summary Introduction Multidimensional Data Model. Proposal of Automation. Conclusions Introduction. Multidimensional Data Model. Proposal of Automation. Conclusions. 6
17 Build an abstract data model and analyze anomalies. Automation Process. Performance in each of the transformations. 7
18 XBRL UML and Databases: State of art Ignacio Santos, Elena Castro, LABDA Group Carlos III University of Madrid
XBRL Interoperability through a Multidimensional Data Model
XBRL Interoperability through a Multidimensional Data Model IADIS INTERNATIONAL Conference on Internet Technologies & Society CITS 2011. Shanghai, China December. 8th-10th 2011 Ignacio Santos & Elena Castro
MAPPING BETWEEN DPM AND MDM
MAPPING BETWEEN DPM AND MDM CEN WS XBRL XBRL week in Luxembourg, December 10 th, 2013. Ignacio Santos Bank of Spain Madrid, December 10 th, 2013. 1 SUMMARY Introduction. Introduction to the Multidimensional
Improving transparency in financial and business reporting Harmonisation topics Part 5: Mapping between DPM and MDM
CEN/TC XBRL Date: 2013-11 TC XBRL WI XBRL001 CEN/TC XBRL Secretariat: NEN Improving transparency in financial and business reporting Harmonisation topics Part 5: Mapping between DPM and MDM Einführendes
1. OLAP is an acronym for a. Online Analytical Processing b. Online Analysis Process c. Online Arithmetic Processing d. Object Linking and Processing
1. OLAP is an acronym for a. Online Analytical Processing b. Online Analysis Process c. Online Arithmetic Processing d. Object Linking and Processing 2. What is a Data warehouse a. A database application
Data Warehouse Design
Data Warehouse Design Modern Principles and Methodologies Matteo Golfarelli Stefano Rizzi Translated by Claudio Pagliarani Mc Grauu Hill New York Chicago San Francisco Lisbon London Madrid Mexico City
Data Warehousing Systems: Foundations and Architectures
Data Warehousing Systems: Foundations and Architectures Il-Yeol Song Drexel University, http://www.ischool.drexel.edu/faculty/song/ SYNONYMS None DEFINITION A data warehouse (DW) is an integrated repository
Model-Driven Data Warehousing
Model-Driven Data Warehousing Integrate.2003, Burlingame, CA Wednesday, January 29, 16:30-18:00 John Poole Hyperion Solutions Corporation Why Model-Driven Data Warehousing? Problem statement: Data warehousing
DATA WAREHOUSING - OLAP
http://www.tutorialspoint.com/dwh/dwh_olap.htm DATA WAREHOUSING - OLAP Copyright tutorialspoint.com Online Analytical Processing Server OLAP is based on the multidimensional data model. It allows managers,
Part 22. Data Warehousing
Part 22 Data Warehousing The Decision Support System (DSS) Tools to assist decision-making Used at all levels in the organization Sometimes focused on a single area Sometimes focused on a single problem
Hybrid OLAP, An Introduction
Hybrid OLAP, An Introduction Richard Doherty SAS Institute European HQ Agenda Hybrid OLAP overview Building your data model Architectural decisions Metadata creation Report definition Hybrid OLAP overview
Overview. DW Source Integration, Tools, and Architecture. End User Applications (EUA) EUA Concepts. DW Front End Tools. Source Integration
DW Source Integration, Tools, and Architecture Overview DW Front End Tools Source Integration DW architecture Original slides were written by Torben Bach Pedersen Aalborg University 2007 - DWML course
This document is a preview generated by EVS
CEN WORKSHOP CWA 16744-5 April 2014 AGREEMENT ICS 35.240.40; 35.240.60 English version Improving transparency in financial and business reporting - Harmonisation topics - Part 5: Mapping between DPM and
XBRL Analytics that Just Makes Sense
XBR Analytics that Just Makes Sense Haiko Philipp 25th XBR conference, Japan, 08.11.2012 Introduction Why does analytics and data modelling belong together? How is data analysed? Through semantics / characteristics
Overview. Stakes. Context. Model-Based Development of Safety-Critical Systems
1 2 Model-Based Development of -Critical Systems Miguel A. de Miguel 5/6,, 2006 modeling Stakes 3 Context 4 To increase the industrial competitiveness in the domain of software systems To face the growing
Data Warehouse: Introduction
Base and Mining Group of Base and Mining Group of Base and Mining Group of Base and Mining Group of Base and Mining Group of Base and Mining Group of Base and Mining Group of base and data mining group,
CHAPTER 4: BUSINESS ANALYTICS
Chapter 4: Business Analytics CHAPTER 4: BUSINESS ANALYTICS Objectives Introduction The objectives are: Describe Business Analytics Explain the terminology associated with Business Analytics Describe the
Talend Metadata Manager. Reduce Risk and Friction in your Information Supply Chain
Talend Metadata Manager Reduce Risk and Friction in your Information Supply Chain Talend Metadata Manager Talend Metadata Manager provides a comprehensive set of capabilities for all facets of metadata
Business Process Modeling and Standardization
Business Modeling and Standardization Antoine Lonjon Chief Architect MEGA Content Introduction Business : One Word, Multiple Arenas of Application Criteria for a Business Modeling Standard State of the
WhitePaper. Extensible Business Reporting Language (XBRL) An overview for technical users
WhitePaper Extensible Business Reporting Language (XBRL) An overview for technical users Altova, Inc. 900 Cummings Center, Suite 314-T Beverly, MA, 01915-6181, USA Tel: 978-816-1600 Fax: 978-816-1606 Web:
CS6905 - Programming OLAP
CS6905 - Programming OLAP DANIEL LEMIRE Research Officer, NRC Adjunct Professor, UNB CS6905 - Programming OLAP DANIEL LEMIRE Research Officer, NRC Adjunct Professor, UNB These slides will be made available
Metadata Management for Data Warehouse Projects
Metadata Management for Data Warehouse Projects Stefano Cazzella Datamat S.p.A. [email protected] Abstract Metadata management has been identified as one of the major critical success factor
Monitoring Genebanks using Datamarts based in an Open Source Tool
Monitoring Genebanks using Datamarts based in an Open Source Tool April 10 th, 2008 Edwin Rojas Research Informatics Unit (RIU) International Potato Center (CIP) GPG2 Workshop 2008 Datamarts Motivation
Common Warehouse Metamodel (CWM): Extending UML for Data Warehousing and Business Intelligence
Common Warehouse Metamodel (CWM): Extending UML for Data Warehousing and Business Intelligence OMG First Workshop on UML in the.com Enterprise: Modeling CORBA, Components, XML/XMI and Metadata November
IST722 Data Warehousing
IST722 Data Warehousing Components of the Data Warehouse Michael A. Fudge, Jr. Recall: Inmon s CIF The CIF is a reference architecture Understanding the Diagram The CIF is a reference architecture CIF
M2074 - Designing and Implementing OLAP Solutions Using Microsoft SQL Server 2000 5 Day Course
Module 1: Introduction to Data Warehousing and OLAP Introducing Data Warehousing Defining OLAP Solutions Understanding Data Warehouse Design Understanding OLAP Models Applying OLAP Cubes At the end of
Standard Business Reporting
Standard Business Reporting IFRS AU Taxonomy 2014 Guide Program name: Standard Business Reporting Date: 19 th June 2014 Production Release suitable for use This document and its attachments are Unclassified
2074 : Designing and Implementing OLAP Solutions Using Microsoft SQL Server 2000
2074 : Designing and Implementing OLAP Solutions Using Microsoft SQL Server 2000 Introduction This course provides students with the knowledge and skills necessary to design, implement, and deploy OLAP
An Agent Based Etl System: Towards an Automatic Code Generation
World Applied Sciences Journal 31 (5): 979-987, 2014 ISSN 1818-4952 IDOSI Publications, 2014 DOI: 10.5829/idosi.wasj.2014.31.05.268 An Agent Based Etl System: Towards an Automatic Code Generation Abderrahmane
XBRL Processor Interstage XWand and Its Application Programs
XBRL Processor Interstage XWand and Its Application Programs V Toshimitsu Suzuki (Manuscript received December 1, 2003) Interstage XWand is a middleware for Extensible Business Reporting Language (XBRL)
A Model-based Software Architecture for XML Data and Metadata Integration in Data Warehouse Systems
Proceedings of the Postgraduate Annual Research Seminar 2005 68 A Model-based Software Architecture for XML and Metadata Integration in Warehouse Systems Abstract Wan Mohd Haffiz Mohd Nasir, Shamsul Sahibuddin
Enabling Better Business Intelligence and Information Architecture With SAP Sybase PowerDesigner Software
SAP Technology Enabling Better Business Intelligence and Information Architecture With SAP Sybase PowerDesigner Software Table of Contents 4 Seeing the Big Picture with a 360-Degree View Gaining Efficiencies
Enabling Better Business Intelligence and Information Architecture With SAP PowerDesigner Software
SAP Technology Enabling Better Business Intelligence and Information Architecture With SAP PowerDesigner Software Table of Contents 4 Seeing the Big Picture with a 360-Degree View Gaining Efficiencies
Building Data Cubes and Mining Them. Jelena Jovanovic Email: [email protected]
Building Data Cubes and Mining Them Jelena Jovanovic Email: [email protected] KDD Process KDD is an overall process of discovering useful knowledge from data. Data mining is a particular step in the
PREFACE INTRODUCTION MULTI-DIMENSIONAL MODEL. Chris Claterbos, Vlamis Software Solutions, Inc. [email protected]
BUILDING CUBES AND ANALYZING DATA USING ORACLE OLAP 11G Chris Claterbos, Vlamis Software Solutions, Inc. [email protected] PREFACE As of this writing, Oracle Business Intelligence and Oracle OLAP are
Bussiness Intelligence and Data Warehouse. Tomas Bartos CIS 764, Kansas State University
Bussiness Intelligence and Data Warehouse Schedule Bussiness Intelligence (BI) BI tools Oracle vs. Microsoft Data warehouse History Tools Oracle vs. Others Discussion Business Intelligence (BI) Products
SQL SERVER BUSINESS INTELLIGENCE (BI) - INTRODUCTION
1 SQL SERVER BUSINESS INTELLIGENCE (BI) - INTRODUCTION What is BI? Microsoft SQL Server 2008 provides a scalable Business Intelligence platform optimized for data integration, reporting, and analysis,
Public Financial Statements. Unofficial English Translation Template
BALANCE CONSOLIDADO PÚBLICO PUBLIC CONSOLIDATED BALANCE SHEET ACTIVO ASSETS 1. CAJA Y DEPÓSITOS EN BANCOS CENTRALES 1. CASH AND BALANCES WITH CENTRAL BANKS 2. CARTERA DE NEGOCIACIÓN 2. FINANCIAL ASSETS
Model Driven Interoperability through Semantic Annotations using SoaML and ODM
Model Driven Interoperability through Semantic Annotations using SoaML and ODM JiuCheng Xu*, ZhaoYang Bai*, Arne J.Berre*, Odd Christer Brovig** *SINTEF, Pb. 124 Blindern, NO-0314 Oslo, Norway (e-mail:
A Design and implementation of a data warehouse for research administration universities
A Design and implementation of a data warehouse for research administration universities André Flory 1, Pierre Soupirot 2, and Anne Tchounikine 3 1 CRI : Centre de Ressources Informatiques INSA de Lyon
Data Warehousing. Paper 133-25
Paper 133-25 The Power of Hybrid OLAP in a Multidimensional World Ann Weinberger, SAS Institute Inc., Cary, NC Matthias Ender, SAS Institute Inc., Cary, NC ABSTRACT Version 8 of the SAS System brings powerful
Introduction to Data Warehousing. Ms Swapnil Shrivastava [email protected]
Introduction to Data Warehousing Ms Swapnil Shrivastava [email protected] Necessity is the mother of invention Why Data Warehouse? Scenario 1 ABC Pvt Ltd is a company with branches at Mumbai,
CHAPTER 5: BUSINESS ANALYTICS
Chapter 5: Business Analytics CHAPTER 5: BUSINESS ANALYTICS Objectives The objectives are: Describe Business Analytics. Explain the terminology associated with Business Analytics. Describe the data warehouse
MDM and Data Warehousing Complement Each Other
Master Management MDM and Warehousing Complement Each Other Greater business value from both 2011 IBM Corporation Executive Summary Master Management (MDM) and Warehousing (DW) complement each other There
Ontologies for Software Engineering and Software Technology
Coral Calero Francisco Ruiz Mario Piattini (Eds.) Ontologies for Software Engineering and Software Technology With 84 Figures and 46 Tables y Springer Contents 1. Ontological Engineering: Principles, Methods,
Data Warehouse design
Data Warehouse design Design of Enterprise Systems University of Pavia 21/11/2013-1- Data Warehouse design DATA PRESENTATION - 2- BI Reporting Success Factors BI platform success factors include: Performance
Data Modeling Basics
Information Technology Standard Commonwealth of Pennsylvania Governor's Office of Administration/Office for Information Technology STD Number: STD-INF003B STD Title: Data Modeling Basics Issued by: Deputy
Business Model Interoperability using Enterprise Model Integration
Business Model Interoperability using Enterprise Model Integration Harald KÜHN, Marion MURZEK, Franz BAYER BOC Information Systems GmbH, Rabensteig 2, 1010 Vienna, Austria Tel: +43 1 513 27 36 10, Fax:
BUSINESS ANALYTICS AND DATA VISUALIZATION. ITM-761 Business Intelligence ดร. สล ล บ ญพราหมณ
1 BUSINESS ANALYTICS AND DATA VISUALIZATION ITM-761 Business Intelligence ดร. สล ล บ ญพราหมณ 2 การท าความด น น ยากและเห นผลช า แต ก จ าเป นต องท า เพราะหาไม ความช วซ งท าได ง ายจะเข ามาแทนท และจะพอกพ นข
Data Warehouses in the Path from Databases to Archives
Data Warehouses in the Path from Databases to Archives Gabriel David FEUP / INESC-Porto This position paper describes a research idea submitted for funding at the Portuguese Research Agency. Introduction
Foundations of Model-Driven Software Engineering
Model-Driven Software Engineering Foundations of Model-Driven Software Engineering Dr. Jochen Küster ([email protected]) Contents Introduction to Models and Modeling Concepts of Model-Driven Software
A Review of Contemporary Data Quality Issues in Data Warehouse ETL Environment
DOI: 10.15415/jotitt.2014.22021 A Review of Contemporary Data Quality Issues in Data Warehouse ETL Environment Rupali Gill 1, Jaiteg Singh 2 1 Assistant Professor, School of Computer Sciences, 2 Associate
Information Management Metamodel
ISO/IEC JTC1/SC32/WG2 N1527 Information Management Metamodel Pete Rivett, CTO Adaptive OMG Architecture Board [email protected] 2011-05-11 1 The Information Management Conundrum We all have Data
DATA CUBES E0 261. Jayant Haritsa Computer Science and Automation Indian Institute of Science. JAN 2014 Slide 1 DATA CUBES
E0 261 Jayant Haritsa Computer Science and Automation Indian Institute of Science JAN 2014 Slide 1 Introduction Increasingly, organizations are analyzing historical data to identify useful patterns and
MS 20467: Designing Business Intelligence Solutions with Microsoft SQL Server 2012
MS 20467: Designing Business Intelligence Solutions with Microsoft SQL Server 2012 Description: This five-day instructor-led course teaches students how to design and implement a BI infrastructure. The
SDWM: An Enhanced Spatial Data Warehouse Metamodel
SDWM: An Enhanced Spatial Data Warehouse Metamodel Alfredo Cuzzocrea 1, Robson do Nascimento Fidalgo 2 1 ICAR-CNR & University of Calabria, 87036 Rende (CS), ITALY [email protected]. 2. CIN,
Chapter 10. Practical Database Design Methodology. The Role of Information Systems in Organizations. Practical Database Design Methodology
Chapter 10 Practical Database Design Methodology Practical Database Design Methodology Design methodology Target database managed by some type of database management system Various design methodologies
Super-Charged Oracle Business Intelligence with Essbase and SmartView
Specialized. Recognized. Preferred. The right partner makes all the difference. Super-Charged Oracle Business Intelligence with Essbase and SmartView By: Gautham Sampath Pinellas County & Patrick Callahan
META DATA QUALITY CONTROL ARCHITECTURE IN DATA WAREHOUSING
META DATA QUALITY CONTROL ARCHITECTURE IN DATA WAREHOUSING Ramesh Babu Palepu 1, Dr K V Sambasiva Rao 2 Dept of IT, Amrita Sai Institute of Science & Technology 1 MVR College of Engineering 2 [email protected]
Concepts of Database Management Seventh Edition. Chapter 9 Database Management Approaches
Concepts of Database Management Seventh Edition Chapter 9 Database Management Approaches Objectives Describe distributed database management systems (DDBMSs) Discuss client/server systems Examine the ways
Organization of DSLE part. Overview of DSLE. Model driven software engineering. Engineering. Tooling. Topics:
Organization of DSLE part Domain Specific Language Engineering Tooling Eclipse plus EMF Xtext, Xtend, Xpand, QVTo and ATL Prof.dr. Mark van den Brand GLT 2010/11 Topics: Meta-modeling Model transformations
How To Write A Diagram
Data Model ing Essentials Third Edition Graeme C. Simsion and Graham C. Witt MORGAN KAUFMANN PUBLISHERS AN IMPRINT OF ELSEVIER AMSTERDAM BOSTON LONDON NEW YORK OXFORD PARIS SAN DIEGO SAN FRANCISCO SINGAPORE
Applying MDA and universal data models for data warehouse modeling
Applying MDA and universal data models data warehouse modeling MARIS KLIMAVICIUS Department of Applied Computer Science Riga echnical University Meza iela 1/3-506, LV-1048, Riga LAVIA [email protected]
From Business World to Software World: Deriving Class Diagrams from Business Process Models
From Business World to Software World: Deriving Class Diagrams from Business Process Models WARARAT RUNGWORAWUT 1 AND TWITTIE SENIVONGSE 2 Department of Computer Engineering, Chulalongkorn University 254
Open Source & XBRL: the Arelle Project
Open Source & XBRL: the Arelle Project Authors: Herm Fischer, Mark V Systems Limited and Diane Mueller, XBRLSpy Research Inc. The Problem Currently, there are a number of proprietary XBRL processors on
A Service-Oriented approach dedicated to Internet based Business Process Networks: Building a MDA based collaborative platform with opensource
A Service-Oriented approach dedicated to Internet based Business Process Networks: Building a MDA based collaborative platform with opensource solutions EBM WebSourcing Jean-Pierre LORRE R&D Manager ObjectWeb
English Financial Terms / Términos Financieros Español
PUBLIC BALANCE SHEET BALANCE PÚBLICO ASSETS ACTIVO 1. CASH AND BALANCES WITH CENTRAL BANKS 1. CAJA Y DEPÓSITOS EN BANCOS CENTRALES 2. FINANCIAL ASSETS HELD FOR TRADING 2. CARTERA DE NEGOCIACIÓN 2. 1. Loans
Business Process Modelling Languages, Goals and Variabilities
Business Process Modelling Languages, Goals and Variabilities Birgit Korherr Women s Postgraduate College for Internet Technologies Institute of Software Technology and Interactive Systems Vienna University
A Modeling Tool for Multidimensional Data using the ADAPT Notation
A Modeling Tool for Multidimensional Data using the ADAPT Notation Peter Gluchowski, Christian Kurze, Christian Schieder Chemnitz University of Technology {petergluchowski christiankurze christianschieder}@wirtschafttu-chemnitzde
A Model Driven Architecture Approach to Web Development
A Model Driven Architecture Approach to Web Development Alejandro Gómez Cuesta, Juan Carlos Granja, and Rory O Connor 2 Software Engineering Department, University of Granada, Spain [email protected], [email protected]
14. Data Warehousing & Data Mining
14. Data Warehousing & Data Mining Data Warehousing Concepts Decision support is key for companies wanting to turn their organizational data into an information asset Data Warehouse "A subject-oriented,
UNLOCKING XBRL CONTENT
UNLOCKING XBRL CONTENT An effective database solution for storing and accessing XBRL documents An Oracle & UBmatrix Whitepaper September 2009 Oracle Disclaimer The following is intended to outline our
Model-Driven Architecture: Vision, Standards And Emerging Technologies
1 Model-Driven Architecture: Vision, Standards And Emerging Technologies Position Paper Submitted to ECOOP 2001 Workshop on Metamodeling and Adaptive Object Models John D. Poole Hyperion Solutions Corporation
DATA WAREHOUSING AND OLAP TECHNOLOGY
DATA WAREHOUSING AND OLAP TECHNOLOGY Manya Sethi MCA Final Year Amity University, Uttar Pradesh Under Guidance of Ms. Shruti Nagpal Abstract DATA WAREHOUSING and Online Analytical Processing (OLAP) are
The Design and the Implementation of an HEALTH CARE STATISTICS DATA WAREHOUSE Dr. Sreèko Natek, assistant professor, Nova Vizija, srecko@vizija.
The Design and the Implementation of an HEALTH CARE STATISTICS DATA WAREHOUSE Dr. Sreèko Natek, assistant professor, Nova Vizija, [email protected] ABSTRACT Health Care Statistics on a state level is a
A Critical Review of Data Warehouse
Global Journal of Business Management and Information Technology. Volume 1, Number 2 (2011), pp. 95-103 Research India Publications http://www.ripublication.com A Critical Review of Data Warehouse Sachin
Business Intelligence, Data warehousing Concept and artifacts
Business Intelligence, Data warehousing Concept and artifacts Data Warehousing is the process of constructing and using the data warehouse. The data warehouse is constructed by integrating the data from
CHAPTER 4 Data Warehouse Architecture
CHAPTER 4 Data Warehouse Architecture 4.1 Data Warehouse Architecture 4.2 Three-tier data warehouse architecture 4.3 Types of OLAP servers: ROLAP versus MOLAP versus HOLAP 4.4 Further development of Data
MDA Overview OMG. Enterprise Architect UML 2 Case Tool by Sparx Systems http://www.sparxsystems.com. by Sparx Systems
OMG MDA Overview by Sparx Systems All material Sparx Systems 2007 Sparx Systems 2007 Page:1 Trademarks Object Management Group, OMG, CORBA, Model Driven Architecture, MDA, Unified Modeling Language, UML,
70-467: Designing Business Intelligence Solutions with Microsoft SQL Server
70-467: Designing Business Intelligence Solutions with Microsoft SQL Server The following tables show where changes to exam 70-467 have been made to include updates that relate to SQL Server 2014 tasks.
Revel8or: Model Driven Capacity Planning Tool Suite
Revel8or: Model Driven Capacity Planning Tool Suite Liming Zhu 1,2, Yan Liu 1,2, Ngoc Bao Bui 1,2,Ian Gorton 3 1 Empirical Software Engineering Program, National ICT Australia Ltd. 2 School of Computer