Syangprova Sinha
Microsoft
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LEARN, CONNECT, BUILD
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Join Microsoft Reactor and engage with developers, entrepreneurs, and startups live
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Optimizing Power BI - Measuring Performance using DAX Studio
10 October, 2023 | 12:30 PM - 1:30 PM (UTC) Coordinated Universal Time
- Format:
Livestream
Topic: Modern Data and Analytics
Language: English
Power BI is one of the best visualization and analytics tool out there. In this third part of this series, we will learn how DAX Studio (an external open-source tool) can help measure Power BI report query performance.
DAX Studio is a must tool to use for any Power BI developer. The tool is very easy to use and leverages XMLA connection to connect to Power BI models both online & on desktop.
DAX Studio has become one of the most used tools by developers to evaluate how DAX queries are performing in Power BI and then helps identifying the root cause of many query performance issues.
Throughout the session we will cover, how we can leverage DAX Studio to learn DAX, understand Power BI Model, Measure DAX query performance and many more.
The session will focus on creating better data models in Power BI. Note that datasets/data models are created in Power BI Desktop as a tool.
Attendees will learn the various guidelines & recommendations that will help to author efficient and coherent datasets in Power BI.
Learning Path- https://aka.ms/PowerBI-Performance
Speaker Bio- Syangprova Sinha
Syangprova aka Swayam is working @ Microsoft as Program Manager with the Power BI Customer Advisory Team. She has 13+ years of experience, specialized on a wide breadth of MSBI technologies and dabbling with Power BI right from its initial days. Prior to MS, she was leading the Power BI CoE team and a buzzing community of data enthusiasts with one of the largest Fortune 500 FMCG companies. In that role, she helped accelerate Power BI adoption business teams globally, and shape their data-driven journey.
Social Handle of the speaker- https://www.linkedin.com/in/syangprova-sinha-15a64a64/
Prerequisites
Read More - https://www.sqlbi.com/tools/dax-studio/
Speakers
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