Exploring Tilda: A 4 way Path

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 assets generated, integrated 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 articles:

• 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: Wrapping It Up
  • First Tutorial Part 10: Summary
  • First Tutorial Part 11: One More Thing...
  • First Tutorial Part 12: One Last Thing...
    • Automated Multi-Tenant Deployments
• Applications
  • A Simple Servlet
  • Factories And Entities
  • Access Methods
  • Output Maps
  • Simple Custom Queries
  • Complex Custom Queries
• Pushing Boundaries For View Patterns
  • Complex Views
  • Exploiting Data Aggregation
  • Time Series
  • Distinct On
  • Multi Joins
• Complex Datamart Definitions
  • Formulas And Measures
  • Realization
  • ETL Integration