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- Best practices for Azure Data Mart implementation and architecture design include12:
- Creating Marts with Views, not by creating new tables.
- Avoiding large cleaning at the stage of Data Mart implementation.
- Not using Star Schema as the performance benefits no longer exist.
- Determining how to split the data into different Data Marts.
- Designing the Star Schema.
- Defining the scope of Data Mart.
- Paying attention to the Logical Data Mart Model.
- Identifying relevant data.
- Narrowing down the data sources.
Learn more:âś•This summary was generated using AI based on multiple online sources. To view the original source information, use the "Learn more" links.Data Mart Implementation
- 1. Views Marts should be created with Views, not by creating new tables. ...
- 2. Use the Data Warehouse Any large cleaning should be avoided at this stage. ...
dataschool.com/data-governance/data-mart-imple…Best Practices for Data Mart Architecture Design
- 1. Define the Scope of Data Mart ...
- 2. Pay Attention to the Logical Data Mart Model ...
- 3. Identify Relevant Data ...
- 4. Narrow Down the Data Sources ...
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