This talk explains the various ways to customize and/or extend the BExIS software. UI customization, Re-branding, and module development are among the titles described here.
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5 BEXIS Extensibility
1. BEXIS Tech Talk Series
#5: BExIS Extensibility
Javad Chamanara
Presented at BExIS Developers Conference
June 2016
Germany
2. Reminder: What is BExIS
• Requirements
– Data Lifecycle Management
– Generic
– Extensible
– Portable
– Scalable
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More details on the BExIS Requirements
3. Reminder: Core Concepts
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DataMetadata
Data StructureMetadata Structure Semantics Geo
Administration Security
«use»
«use»
«use» «use»
«use»
More details on the Conceptual Model
4. Reminder: Architecture
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DB2 PgS
Data Access
Security
Core Functions
UI
UI Framework
...
Modularity
Integration
Synthesis Work
Semantic Search
Analytics
User Defined
Spatial Querying
External Tools
Web Services
Archiving
Import/ Export
Publishing
More details on the Architecture
5. Extensibility Aspects
• Module Development: Is the mechanism to
add functionality to BExIS
– Support for specific data formats
– Data Analysis and Visualization
– Geographical Search
– Resource Booking
– Semantic Search
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6. Extensibility Aspects
• Integration: Data/service exchange between
BExIS and other systems.
– Publishing datasets in external repositories
– Allowing access to datasets for analysis
– Acquiring PIDs
– …
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7. Extensibility Aspects
• Branding: Is a way to position BExIS in a user
community on behalf of a customer
– Logo, Icons
– Themes, colors,
– Text, graphics,
– …
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11. Shell: Menus
• Registered by Modules
• Integrated into Shell
• Some are fixed
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12. Module Development
• A module is a set of related user facing
functions, operating from inside the BExIS
Shell
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13. Components of a Module
• UI
• Services
• Data Access
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20. Module: Data
• Seed Data:
– The data needed by module to start working.
– It can be immutable or modifiable
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22. Branding
• Who needs to re-brand BExIS
– Tenants: The customers who install and own BExIS
• What can be re-branded
– Appearance
– Documents
– Functionalities
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32. Integration: Services
• Authentication/Authorization
• Dataset
• Schema of a dataset
• Metadata of a Dataset
• Selected Variables of a Datasets
• Selected Tuples of a Dataset
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33. APIs
• Access Method
– Web based
– HTTP
– REST
• Output format
– CSV
– JSON
– XML
• Example
– rBExIS package for R
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34. Sample Web API calls: Data
• http://www.name.com/api/data
• http://www.name.com/api/data/6
– /api/data/6?header=id,name
– /api/data/6?filter=(Grade>50 AND Grade <90)
– /api/data/6?header=id,name&filter=(Grade>50)
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35. Sample Web API calls: Data
Structure
• http://www.name.com/api/structures/6
• http://www.name.com/api/metadata/6
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36. Sample Web API calls: Metadata
• http://www.name.com/api/metadata
• http://www.name.com/api/metadata/6
• http://www.name.com/api/metadata/6?Conv
ertTo=EML
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37. Outlook
Whats next in the talk series?
UI Structure and Web API
Detailed developer view
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