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Data Engineering
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assets bundle

seefoods
Contributor

Hello Guys,

I am working on assets bundle. So i want to make it generic for all team like ( analytics, data engineering), Someone could you share a best practice for this purpose ? 

Cordially, 

1 ACCEPTED SOLUTION

Accepted Solutions

lingareddy_Alva
Honored Contributor II

Hi @seefoods 

Creating a generic asset bundle that works across different teams requires careful design around modularity, configurability, and clear interfaces.

Here are key best practices:
1. Structure and Organization
Modular Architecture: Design your bundle with separate modules for common functionality (logging, configuration, data connectors) and team-specific components.
Use a plugin-style architecture where teams can extend base functionality without modifying core components.
Clear Separation of Concerns: Separate infrastructure code, business logic, and configuration. This allows teams to customize what they need while inheriting stable, tested infrastructure components.

2. Configuration Management
Parameterized Templates: Use configuration files or environment variables for team-specific settings like database connections, API endpoints, storage paths, and processing parameters. Avoid hardcoding these values.
Environment-Specific Configs: Support different configurations for development, staging, and production environments that teams can customize independently.
Schema Validation: Define clear schemas for configuration to catch errors early and provide documentation for teams on what parameters are available.

3. Standardization with Flexibility
Common Interfaces: Define standard interfaces for data ingestion, transformation, and output that all teams must implement, but allow flexibility in the underlying implementation.
Shared Libraries: Create common utility libraries for tasks like data validation, error handling, monitoring, and authentication that teams can leverage consistently.
Naming Conventions: Establish consistent naming patterns for resources, variables, and outputs across teams.

4. Documentation and Onboarding
Comprehensive Documentation: Include setup guides, API references, examples, and troubleshooting guides. Document both the common components and how to extend them.
Example Implementations: Provide working examples for typical use cases that each team encounters.
Migration Guides: If updating existing bundles, provide clear migration paths and backward compatibility strategies.

5. Testing and Quality
Automated Testing: Include unit tests for common components and integration test templates that teams can adapt for their specific use cases.
CI/CD Integration: Provide pipeline templates that teams can customize while maintaining consistent deployment practices.


6. Governance and Maintenance
Version Management: Use semantic versioning and maintain clear changelogs. Consider having LTS versions for stability-focused teams.
Feedback Mechanisms: Establish channels for teams to request features, report issues, and contribute improvements back to the common bundle.
Regular Reviews: Schedule periodic reviews with stakeholder teams to assess what's working and what needs adjustment

 

LR

View solution in original post

1 REPLY 1

lingareddy_Alva
Honored Contributor II

Hi @seefoods 

Creating a generic asset bundle that works across different teams requires careful design around modularity, configurability, and clear interfaces.

Here are key best practices:
1. Structure and Organization
Modular Architecture: Design your bundle with separate modules for common functionality (logging, configuration, data connectors) and team-specific components.
Use a plugin-style architecture where teams can extend base functionality without modifying core components.
Clear Separation of Concerns: Separate infrastructure code, business logic, and configuration. This allows teams to customize what they need while inheriting stable, tested infrastructure components.

2. Configuration Management
Parameterized Templates: Use configuration files or environment variables for team-specific settings like database connections, API endpoints, storage paths, and processing parameters. Avoid hardcoding these values.
Environment-Specific Configs: Support different configurations for development, staging, and production environments that teams can customize independently.
Schema Validation: Define clear schemas for configuration to catch errors early and provide documentation for teams on what parameters are available.

3. Standardization with Flexibility
Common Interfaces: Define standard interfaces for data ingestion, transformation, and output that all teams must implement, but allow flexibility in the underlying implementation.
Shared Libraries: Create common utility libraries for tasks like data validation, error handling, monitoring, and authentication that teams can leverage consistently.
Naming Conventions: Establish consistent naming patterns for resources, variables, and outputs across teams.

4. Documentation and Onboarding
Comprehensive Documentation: Include setup guides, API references, examples, and troubleshooting guides. Document both the common components and how to extend them.
Example Implementations: Provide working examples for typical use cases that each team encounters.
Migration Guides: If updating existing bundles, provide clear migration paths and backward compatibility strategies.

5. Testing and Quality
Automated Testing: Include unit tests for common components and integration test templates that teams can adapt for their specific use cases.
CI/CD Integration: Provide pipeline templates that teams can customize while maintaining consistent deployment practices.


6. Governance and Maintenance
Version Management: Use semantic versioning and maintain clear changelogs. Consider having LTS versions for stability-focused teams.
Feedback Mechanisms: Establish channels for teams to request features, report issues, and contribute improvements back to the common bundle.
Regular Reviews: Schedule periodic reviews with stakeholder teams to assess what's working and what needs adjustment

 

LR