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Mathias HalkjærPrincipal Architect & Microsoft Data Platform MVP
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A deep dive into Direct Lake
The new Direct Lake storage mode in Power BI promises to revolutionize data handling by blending the real-time nature of DirectQuery and the high performance of Import mode. Is this all just hype, or does Direct Lake truly deliver on these claims?
In this session, we will put Direct Lake under the microscope, conducting comprehensive performance testing across varied data sets and query types. We aim to stress test Direct Lake, uncovering where it meets expectations, where it excels, and where it has room for improvement.
The key areas we’ll explore are:
- Direct Lake: Understanding what we know about the engine
- Analyzing performance across different scenarios
- Strengths and weaknesses
- Advice for data modelling for Direct Lake
By the end of this session, you’ll have a well-rounded understanding of Direct Lake’s capabilities, potential for your Power BI data modelling projects.
BIO
Mathias Halkjaer is a data enthusiast with a great passion for the synergy between data analytics and cloud data platforms. As a Principal Architect at Fellowmind he works with building up clients’ data capabilities, implementing data platform technologies and all-in-all maximize the impact of their their data. Being a Microsoft Data Platform MVP, he is very passionate about sharing anything with community, especially something around turning data into impact! With a background in Product Development and Innovation, Mathias brings a unique ‘Data Product’ perspective to the realm of data architecture, and is obsessed with the bigger picture. With his slightly rebellious attitude, he’s not afraid to challenge the status quo and break industry norms to find new and better solutions.