This lesson explains the three primary Power BI connection modes — Import, DirectQuery, and Live Connection — describing what each mode does, when to use it, their trade-offs, and practical decision guidance. It combines definitions, comparisons, analogies, technical realities, decision steps, real-world examples, and next steps to help you pick the appropriate mode for your report requirements.
You already made your first report, met the Power BI ecosystem, and know the basic moves. Now it's time for a relationship talk: how should Power BI connect to your data? This choice will decide whether your reports are fast and flexible, painfully slow, or mysteriously incomplete. Choose wisely...
Quick definitions — the elevator pitch Import : Power BI pulls data from the source into its own internal model (VertiPaq). Fast queries, full modeling power, but you need to refresh to get new data. DirectQuery : Power BI does not import rows. Instead, it sends queries to the source at report tim...
Side-by-side comparison Feature / Mode Import DirectQuery Live Connection Where data lives In Power BI dataset (in-memory) At source At source/semantic model Data freshness Requires scheduled or manual refresh Near real-time (query at view time) Near real-time (query at view time) Mo...
Deep dive with human analogies Import is like copying a cookbook into your kitchen. You can chop, mix, and rewrite recipes all you want. The fridge sits in your house, so service is fast. But if the chef updates the original recipe, you have to copy the cookbook again. DirectQuery is like ordering...
Pros, cons, and gotchas (practical notes) Import Pros: blazing query performance, full DAX and modeling features, supports large number of visuals and complex measures Cons: dataset size limits (Power BI Pro limit, Premium larger), refresh windows and frequency, initial import can take long Dire...
Technical realities you need to remember Query folding: in Power Query, folding means pushing transformations to the source. With Import, folding helps performance during refresh. With DirectQuery, folding is crucial because pushing logic to the source keeps queries efficient. If folding breaks, ex...
Decision flow — choose your mode in 5 steps How fresh does the data need to be? If near real-time, consider DirectQuery or Live Connection. Do you need heavy modeling and custom columns? If yes, Import is your friend. Is the dataset enormous or governed by IT s single semantic model? If yes, cons...
Closing — key takeaways and next steps Import = speed and flexibility, but needs refresh. DirectQuery = live data, but depends on the source and limits modeling power. Live Connection = enterprise control, but you cannot edit the model locally. Next steps for your learning path (builds on your f...
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