- Course
Effective Quick Insights and Q&A in Power BI
Learn to query your data (including on-premises data) using questions such as "Can you show me revenue by region for the last three months?". Also, discover how to easily mine valuable insights from your data without needing a degree in data science.
Advanced
- Course
Effective Quick Insights and Q&A in Power BI
Learn to query your data (including on-premises data) using questions such as "Can you show me revenue by region for the last three months?". Also, discover how to easily mine valuable insights from your data without needing a degree in data science.
Advanced
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This course is included in the libraries shown below:
- Data
What you'll learn
Have you ever wanted to provide a simple, self-service way for data consumers to query your data? What if they could just type a question or even just speak their question and have a useful chart or report 'magically' appear with the answer? In this course, Effective Quick Insights and Q&A in Power BI, you will gain the ability to optimize your Power BI datasets so that they will work seamlessly with the powerful Q&A and Quick Insights features. First, you will learn what these features are capable of doing when applied to a 'tidy and polished' dataset. Next, you will discover how to optimize your datasets so they will support these features. Finally, you will explore how to extend the Q&A feature to work with data stored not in the cloud, but inside your own on-premises data center. When you're finished with this course, you will have the skills and knowledge of data modeling needed to supercharge your Power BI datasets using both Q&A and Quick Insights.
Effective Quick Insights and Q&A in Power BI
Advanced
Table of contents
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Course Objectives and Assumptions | 2m 44s
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Q&A Target Audience | 3m 12s
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Q&A Benefits and Requirements | 4m 51s
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Q&A Demo Against a 'Clean' Dataset | 4m 2s
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Setting up the Sample Database | 6m 15s
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Uploading the Sample Data to Power BI | 4m 58s
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Q&A Demo Against a 'Raw' Dataset | 2m 56s
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Module Summary | 39s
Jim Kay has worked with SQL Server and many of the Microsoft Data-Related tools for almost as long as they have existed. This doesn't mean he knows everything about them, but he does know enough to be dangerous...