Summary

AnalyticsCreator provides a rich set of advanced features to help you configure, customize, and optimize your data warehouse projects. These features extend the tool’s capabilities beyond standard operations, enabling more precise control and flexibility. Scripts in AnalyticsCreator allow for detailed customization at various stages of data warehouse creation and deployment. They enhance workflow flexibility and enable advanced repository configurations. 1. Object-Specific Scripts
Define custom behavior for individual objects, such as tables or transformations, to meet specific requirements. 2. Pre-Creation Scripts
Execute tasks prior to creating database objects.
Example: Define SQL functions to be used in transformations. 3. Pre-Deployment Scripts
Configure processes that run before deploying the project.
Example: Validate dependencies or prepare the target environment. 4. Post-Deployment Scripts
Handle actions executed after deployment is complete.
Example: Perform cleanup tasks or execute stored procedures. 5. Pre-Workflow Scripts
Manage operations that occur before initiating an ETL workflow.
Example: Configure variables or initialize staging environments. 6. Repository Extension Scripts
Extend repository functionality with user-defined logic.
Example: Add custom behaviors to redefine repository objects. The historization features in AnalyticsCreator enable robust tracking and analysis of historical data changes, supporting advanced time-based reporting and auditing. 1. Slowly Changing Dimensions (SCD)
Automate the management of changes in dimension data.
Supports various SCD types including: - Type 1 (overwrite) - Type 2 (versioning) - Others as needed 2. Time Dimensions
Create and manage temporal structures to facilitate time-based analysis.
Example: Build fiscal calendars or weekly rollups for time-series analytics. 3. Snapshots
Capture and preserve specific states of the data warehouse.
Use cases include audit trails, historical reporting, and rollback points. These tools provide centralized control and reusable logic to optimize workflows and streamline repetitive tasks. - Dynamic Management: Centralize variable definitions for consistent use across scripts, transformations, and workflows.
- Reusable Configurations: Update values in one place to apply changes globally.
- Use Cases: Set default values for connection strings, table prefixes, or date ranges. - Reusable Logic: Create parameterized scripts for tasks repeated across projects or workflows.
- Streamlined Processes: Use macros to enforce consistent logic in transformations and calculations.
- Example: Define a macro to calculate age from a birthdate and reuse it across transformations. AnalyticsCreator’s advanced features offer deep customization options that allow you to: - Control object-level behavior through scripting
- Track and manage historical data effectively
- Streamline project-wide settings with parameters
- Reuse logic with powerful macros
These capabilities enable you to build scalable, maintainable, and highly flexible data warehouse solutions. ⬅ Previous Page