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Can you explain the differences between tabular and multidimensional models, and which among the two is the supported model for Azure analysis services?

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Question Analysis

The question asks about the differences between tabular and multidimensional models, and also inquires about which model is supported by Azure Analysis Services. This is a technical question that tests the candidate's understanding of data modeling concepts and their specific knowledge of Azure Analysis Services.

Answer

Tabular vs. Multidimensional Models

  • Data Structure:

    • Tabular Model: Uses tables, columns, and relationships, similar to a relational database. It is based on in-memory storage and is optimized for speed and ease of use.
    • Multidimensional Model: Based on OLAP (Online Analytical Processing) cubes, which consist of dimensions and measures, allowing complex calculations and aggregations.
  • Development Environment:

    • Tabular Model: Developed using tools like SQL Server Data Tools (SSDT) and supports languages such as DAX (Data Analysis Expressions) for calculations.
    • Multidimensional Model: Developed using Business Intelligence Development Studio (BIDS) or SQL Server Data Tools and supports MDX (Multidimensional Expressions) for querying.
  • Performance:

    • Tabular Model: Generally faster for smaller datasets and supports in-memory analytics.
    • Multidimensional Model: Can handle large volumes of data and complex queries but may require more tuning and optimization.
  • Ease of Use:

    • Tabular Model: Easier to develop and maintain, with a flatter learning curve, making it more suitable for users familiar with relational databases.
    • Multidimensional Model: More complex, with a steeper learning curve due to the necessity of understanding OLAP concepts.

Azure Analysis Services Support:

Azure Analysis Services primarily supports the Tabular Model. It leverages the in-memory analytics engine to provide high performance and scalability. The tabular model's simplicity and speed make it the preferred choice for many cloud-based analytics solutions.