Data Management & Meta Data | Meta Data Demo Cases | Demo Case DaMAcademy | Objects |

Objects

Versie	1.0
Creatie datum	23-12-2021

Packages

BIVP

• BIVP

Data qualities

• Data qualities

Elementen

• Trainer
• Trainee
• Person
• Employee
• Training
• Classroom training
• Online training
• Registration
• Training Session
• Registration at 01-12-20
• Cindy
• Andy
• Big Data Introduction
• Moodle online training
• Big Data Introduction Utrecht 01-02-21
• Bob

ApplicationComponent

• Consuiming systems
• KA DWH
• Oracle Workflow and Scheduler (11)
• Hadoop
• Hive
• Mahoot
• Oozie
• Pig
• Sqoop
• Storm
• Moodle
• Microsoft Dynamics
• AFAS
• AFAS HRM

ApplicationFunction

• Register Data Consumption
• ERP
• Register Data Consumption via Integration
• Other Data Producers
• Register Data Consumption via User Interface
• Register Data Production
• Geo
• Data Register
• Data Publication
• Data Model Transformation
• Data Protocol Transformation
• Data Registration
• Data Processing
• Data Storage
• Data Validation
• Automated Data Validation
• Manual Data Validation
• Master Data Management and Governance
• Master Data Modelling and Meta Modelling
• Extract
• Load
• Logical modeling
• Modeling
• Physical modeling
• Transform
• Workflow management
• File transformation
• Message transformation
• NoSql transformation
• Register extraction
• Relational transformation
• Streaming transformation
• Transformation
• Stream transformation
• XML Transformation
• 1R algoritm
• Apriori algoritm
• Association rules
• Average, median and mode
• Bar, Pie and Line chart
• Binning
• Box and Whisker diagram
• Classification
• Cluster-based local outlier factors (CBLOF)
• Clustering
• Correlation
• Cross tab
• Data analysis visualisations
• Data analytics
• Data reduction
• Decision tree
• Feature extraction
• Forward selection and backward elimination
• Histogram
• Inter Quartile Range
• Inverted document frequency
• K-means
• K-nearest neighbors
• Liniaire regression
• Logistic regression
• n-grams
• Naive Bayes
• Outlier detection
• Pattern recognizion
• Regression
• Rule based classification
• Scatter plot
• Standard deviation
• Statististical functions
• Term Frequency
• Text analysis
• Timeseries
• Z-Score
• Big Data SQL
• Data filtering and selection
• Data processing and transport
• Data Workflow
• Machine Learning
• Scriptng
• Data visualisations
• Geo viewers
• Graphs and statistical visualisations
• Heatmaps
• Hybrid visualisations
• Networks graphs and trees
• Time series and trends

ApplicationInterface

• SFTP
• Fileshare
• Application integration for publication
• Geo webservices to consumers
• Managed File Transfer to consumers
• Geo ETL to consumers
• Relational ETL to consumers
• SOAP-XML webservices to consumers
• Application integration for registration
• Relational ETL
• SOAP-XML webservices
• Managed File Transfer
• Geo webservices
• GEO ETL
• User Interfaces for Publication
• Forms and reports
• Geo viewer
• Export Office documents
• User Interfaces for registration
• Import Office documents
• Unmanaged File Transfer
• Data entry screens
• Dashboard
• Database link
• File transfer
• Forms and pages
• Graphs
• Packages and stored procedures
• Report
• Views and materialized views
• Webservice
• Application integration
• Data access
• Database integration
• ETL processing
• Portals and widgets
• User interface
• Change Data Capture
• XML/SOAP
• JSon/REST
• FTP

ApplicationService

• Data Acquisition/Registration Service
• Register Data Publication and Integration Service
• Generic Dataset Access

BusinessActor

• Backoffice
• Trainer
• Trainee
• Management

BusinessObject

• Trainer
• Training Session
• Registration
• Online training
• Classroom training
• Training
• Employee
• Person
• Trainee

BusinessProcess

• Governance processes
• Implementation processes
• Register for training
• Human Resource Management
• Trainer selection and accreditation
• Training planning

BusinessRole

• Asset management
• Clients and Markets
• Contractors
• Government agencies
• Sector representation
• System Operations
• External consumers
• Internal consumers
• Society general

Constraint

• Connection requirements

DataObject

• Data target
• XML based webservice
• XML File
• File
• Message
• NoSql
• Relational databases
• Standardized object or datamodel
• Streaming data
• DataMart Registration
• Training

Deliverable

• Datatype evaluation relational database
• Introduce Geo extension in database
• Map application datamodels to logical datamodel

Goal

• Compliancy with legislations
• Trainee satisfaction
• Quality
• Quality of registration
• Quality of reporting
• Complliancy with GDPR
• Stakeholder satisfaction
• Trainer Satisfaction
• Employee satisfaction

Principle

• A central design authority governs the data sources and the data integration layers
• Ability to abstract on the data sources via implementation of specific connectors
• Cloud and on-premise deployment options
• Customizable self-defined API to access platform services
• Data analytics based on data integration layer provides real-time performance and scalability next to batch processing
• Data ownership/stewardship and control of the data in the data integration layer.
• Data sources on heterogeneous environments
• Dedicated access via authorization and authentication mechanisms on data integration layer
• Distinguish and decouple classic BI, near real-time BI and real-time OI and prioritize OI real-time requirements.
• Flexibility of integrating different parallel data sources and providing scalable real time data
• Flexible customizable analytics functions
• Functional modules and data integration layer can be hosted on different physical environments
• Functionalities plugged in on top of dedicated data integration layer
• Layered Architecture
• Prioritized capabilities are incubated in a learning environment and OTAP
• Scalability with the number of connected devices to provide a basis for real-time analytics
• The functional data analytics layer and the data integration layer are coupled by a standard information model
• Virtualized infrastructure
• Data is a valuable asset
• For all data entities is meta data available
• Compliancy with law and legislation
• Compliancy with privacy legislation (GDPR)
• Processes are supported by data fit for purpose
• Data entities have a common definition

Requirement

• Generic requirements
• Specific requirements
• Data Qualities
• Accurateness
• Adaptability
• Analysability
• Attractivity
• Availability
• Changability
• Clarity
• Compliance
• Conformance
• Degradability
• Efficiency
• Explicitness
• Fault tolerance
• Functionality
• Helpfullness
• Installability
• Interoperability
• Learnability
• Maintainability
• Managability
• Maturity
• Operability
• Portability
• Recoverability
• Reliability
• Resource behaviour
• Reusability
• Security
• Stability
• Replacability
• Suitability
• Testability
• Time behaviour
• Tracability
• Understandability
• Usability
• User friendliness

Stakeholder

• Legislator
• Employee
• Trainer
• Trainee

TechnologyService

• Authentication
• Identification
• Authorisation
• Permission management
• Access Distribution
• Access Security
• Data Zone Protection
• Facility Monitoring

EAMatrixSpecification

• Data ownership
• CRUD Matrix
• Data Quality Score

table

• Trainer
• Training Session
• Registration
• Online training
• Classroom training
• FactRegistration
• DimTrainee
• DimTime
• DimTraining
• Training
• Employee
• Person
• Trainee

XSDcomplexType

• Trainer
• Training Session
• Registration
• Online training
• Classroom training
• Training
• Employee
• Person
• Trainee

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