data modeling zone 2017

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Data Modeling by Example

© BCP Software / Marco Wobben

• Capture business language

• Support agile modeling

• Validation by users

• Integrate documentation

• Include language domains

• Model once, bootstrap everything

What if?

Fact Oriented Modeling

Methods

• Development originated in the 70’s “one family, three relatives”

Method By Tool EmphasisNIAM Nijssen DocTool relational ORM Halpin NORMA constraints FCO-IM Bakema & co. CaseTalk communication

High level modeling

Specialists at work

Facts

Expression

Visualise

Generate

Communicate Data Capture Knowledge

FCO-IM

• Communication Oriented, • Information Modeling, • Fully.

Make it work

a Fact

Name of Customer: “Customer 4081 is Sandia Labs.”

Customer

Customer NoName

Name of Customer

Add Unicity

Customer

Customer NoName

Name of Customer

Name of Customer: “Customer 4081 is Sandia Labs.”

Agile: Add a Fact

Customer Location City

City Name

Customer

Customer NoName

Name of Customer: “Customer 4081 is Sandia Labs.” Customer Location: “Customer 4081 is located in Albuquerque.”

Name of Customer

Transformation(s)

Customer Location City

City Name

Customer

Customer NoName

Name of Customer: “Customer 4081 is Sandia Labs.” Customer Location: “Customer 4081 is located in Albuquerque.”

Name of Customer

Group (before)

Name of Customer: “Customer 4081 is Sandia Labs.” Customer Location: “Customer 4081 is located in Albuquerque.”

Customer Location City

City Name

Customer

Customer NoName

Name of Customer

consolidate identical populations

Group (after)

City

City Name

Customer

Customer NoName

Name: “Customer 4081 is Sandia Labs.” City: “Customer 4081 is located in Albuquerque.”

consolidate identical populations

Lexicalise

City

City Name

Customer

Customer NoName

Name: “Customer 4081 is Sandia Labs.” City Name: “Customer 4081 is located in Albuquerque.”

every place holder has a data type

City

City Name

Customer

Customer NoName

Reduce

Name: “Customer 4081 is Sandia Labs.” City Name: “Customer 4081 is located in Albuquerque.”

remove redundancy and unused concepts

City Name

Customer

Customer NoName

Generate Artifacts

Name: “Customer 4081 is Sandia Labs.” City Name: “Customer 4081 is located in Albuquerque.”

SQL DDL

CREATE TABLE Customer ( Customer_No integer NOT NULL, Name varchar(64), City_Name varchar(256), PRIMARY KEY (Customer_No) );

City Name

Customer

Customer NoName

Table Document

SQL DDL & DML

CDM

PDM

UML

XML Schema

Ontology

Validation

Rule Validation

Rule Validation

Rule Validation

Model Validation

User Validation

Why a Data Model?

• Capturing business requirements

• Promotes reuse, consistency, quality

• Bridge between business and technology personnel

• Avoid late discovery of missed requirements

• Critical in managing integration between systems

• Pre-cursor to DBMS design / generate DDL

Source: DAMA-I Survey

Practice

Work sheet

Work sheet

Work sheet

Employee Name: “Employee 618 has name Boven WJ van.”

Work sheet

Work sheet

Working Hours:“In week 200138 employee 618 worked on project 6323.16

for 2 hours on task 15.”

Work sheet

Working Hours:“In week 200138 employee 618 worked on project 6323.16

for 2 hours on task 15.”

Project Employee:’employee 618 worked on project 6323.16’

ArtifactsDatabases Oracle SQL Server MySQL SQLite SQL92 MongoDB Interbase MsAccess Denodo …

Other PowerDesigner OWL/RDF XML Schema DWH Models Relational Diagrams UML Class Diagrams HTML + Images Spreadsheets …

Some Customers

• Banking

• Travel

• Medical

• Education

• Government

Some MetricsKLM / m~ëëÉåÖÉê=C=`~êÖç ~ NRMM=Ñ~Åí=íóéÉë

ProRail / jÉí~=a~í~=j~å~ÖÉãÉåí ~ OMMM=Ñ~Åí=íóéÉë=

HAN University / léÉê~íáçå~ä ~ SMMM=Ñ~Åí=íóéÉë

Erasmus MC / a~í~=t~êÉÜçìëÉ ~ PRMM=Ñ~Åí=íóéÉë

Contact

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ïïïKÄÅéJëçÑíï~êÉKåä===L===ïïïKÅ~ëÉí~äâKÅçã

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