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Answer: All of the above
To effectively analyze the impact of changes to the data warehouse on Power BI reports and minimize disruptions, it is essential to identify dependencies, ensure data integrity through backups, collaborate with stakeholders for a comprehensive understanding of the impact, and rigorously test changes in a non-production environment. This holistic approach ensures that the changes enhance the data warehouse's performance and scalability without adversely affecting the critical Power BI reports.
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As a Microsoft Fabric Analytics Engineer Associate, you are tasked with performing an impact analysis of downstream dependencies from a data warehouse to a Power BI report. The organization is planning to implement significant changes to the data warehouse schema to improve performance and scalability. However, these changes could potentially affect several Power BI reports that are critical for business decision-making. You need to ensure that the changes do not disrupt the functionality and accuracy of these reports. Which of the following steps should you take to analyze the impact of the changes on the Power BI report and minimize potential disruptions? (Choose all that apply)
A
Identify all the data sources and measures in the Power BI report that are directly or indirectly dependent on the data warehouse to understand the scope of impact.
B
Create a comprehensive backup of both the data warehouse and the Power BI report before implementing any changes to ensure data integrity and facilitate recovery if needed.
C
Engage with stakeholders and team members to communicate the planned changes, gather insights on the report's usage, and assess the potential impact on business processes.
D
Implement and test the changes in a controlled, non-production environment first, then validate the Power BI report's functionality and data accuracy before proceeding with the production deployment.
E
All of the above