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Exploring Tilda: A 4 way Path
Laurent Hasson edited this page Dec 2, 2019
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Tilda is a broad and comprehensive data framework that can be used in many ways, for example:
- Schema management: at its simplest level, Tilda helps you define a model, very much in the same way common ER Diagramming tools do. The difference is the depth of patterns implemented, ability to model complex views, assets generated, iterative development and deployment processes and so on.
- Java application building: Tilda generates many application-level assets to simplify Java application development.
- Complex data access patterns: Tilda understands relationships between complex view, from pivots to time series.
- Data warehouse, formula and Modeling patterns: advanced generative capabilities allows Tilda to be used to generate data access code for complex data consumption, rich formulas that self document, and straight forward and optimized data optimizations.
We will cover each of those, from simple to complex, in separate tutorials, and all build upon the Getting Started Tutorial:
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Scalable Iterative And Transparent Data Model Development: An Expanded Beginner's Tutorial
- First Tutorial Part 1: Benefits Of A Transparent Iterative Model-Driven Approach
- First Tutorial Part 2: Basic Scenario
- First Tutorial Part 3: Table Definition
- First Tutorial Part 4: Pivot View Definition
- First Tutorial Part 5: More Advanced Scenario
- First Tutorial Part 6: Multi-Pivot And Analytics Views
- First Tutorial Part 7: Realization And Refills
- First Tutorial Part 8: Formulas
- First Tutorial Part 9: Shadow Realized Views
- First Tutorial Part 10: Summary
- First Tutorial Part 11: One More Thing...
- First Tutorial Part 12: One Last Thing...
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Java Applications
- Second Tutorial Part 1: Compile-time Java Code Generation
- Second Tutorial Part 2: Basic Scenario
- Second Tutorial Part 3: Connection Management
- Second Tutorial Part 4: Generated Artifacts
- Second Tutorial Part 5: Basic APIs
- Second Tutorial Part 6: Reading And Writing Data
- Second Tutorial Part 7: Indices and Queries
- Second Tutorial Part 8: Object Processors
- Second Tutorial Part 9: JSON and CSV Export
- Second Tutorial Part 10: Behavior Customization
- Second Tutorial Part 11: One More Thing...
- Second Tutorial Part 12: One Last Thing...
- Pushing Boundaries For View Patterns
- Complex Datamart Definitions