Focus on this objective today: Design and implement a data model: Implement role-playing dimensions. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Design and implement data modeling with Azure Databricks Module 14 Units Feedback Intermediate Data Engineer Azure Databricks Effective data modeling forms the foundation of a performant and maintainable data platform. This module explores how to design ingestion logic, select appropriate tools and table formats, implement partitioning schemes, manage slowly changing dimensions, choose appropriate data granularity, and optimize table performance through clustering strategies in Azure Databricks with Unity Catalog. Learning objectives By the end of this module, you'll be able to: Design data ingestion logic and configure data source connections Select the appropriate data ingestion tool for your scenario Choose between Delta Lake, Apache Iceberg, and other table formats Design and implement effective data partitioning schemes Select and implement slowly changing dimension types Design and implement temporal tables for change tracking and auditing Choose appropriate data granularity for fact and dimension tables Design and implement clustering strategies for query optimization Evaluate when to use managed versus external tables Add Prerequisites The following prerequisites should be completed: Basic understanding of Azure Databricks workspaces and Unity Catalog Familiarity with SQL and data warehouse concepts Knowledge of Delta Lake fundamentals Introduction min Design ingestion logic and data source configuration min Choose a data ingestion tool min Choose a data table format min Design and implement a data partitioning scheme min Choose a slowly changing dimension (SCD) type min Implement a slowly changing dimension (SCD) type 2 min Design and implement a temporal (history) table to record changes over time min Choose granularity on a column or table based on requirements min Choose managed vs unmanaged tables min Design and implement a clustering strategy min Exercise - Design and Implement Data Modeling with Azure Databricks min Knowledge check min Summary min Take the module assessment Module Assessment Results Assess your understanding of this module.
Objective
Design and implement a data model: Implement role-playing dimensions