Warehouses, Lakehouses, Data Pipelines, Semantic Models, Power BI, Real Time Intelligence and more! (DP-600)
InstructorMalvik VaghadiaComidoc has tracked 1 coupon for this course since 2026, last checked 5 months, 22 days ago.
| Coupon code | Discount | Added | Status | Lifetime |
|---|---|---|---|---|
| Coupon codeMAY_DEALS | Discount44% off | Added | StatusExpired | Lifetime4d 13h |
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Editorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
This slide outlines the core experiences within Microsoft Fabric, displaying icons for Warehouse, Engineering, Real Time, Power BI, Data Factory, and Data Science.
This diagram illustrates how different professional roles like Data Analysts and Data Engineers map to specific Microsoft Fabric tools such as Warehouse and Power BI.
This slide outlines the course delivery structure, highlighting a combination of theory lectures, hands-on walkthroughs, and end-to-end project sections.
This slide introduces Microsoft Fabric as a unified data platform designed to bring together Data Analysts, Data Engineers, and Data Scientists on a single workspace.
The curriculum demonstrates a logical progression through end-to-end solutions, specifically focusing on the implementation of medallion architecture.
Instruction covers a wide range of capabilities including SQL schema management, Spark/PySpark notebooks, and Real-Time Intelligence via KQL databases.
One signal suggests that the platform interface has evolved, causing a mismatch between the recorded walkthroughs and the current user experience. This specific observation was made prior to the most recent update date, which does not prove a correction has occurred.
A learner signal indicates that certain sections may feel repetitive or drag toward the end of the curriculum.
The curriculum aligns well with the needs of data engineers and analysts, though it may be challenging for non-technical users. One signal predates the displayed course update; the update may have addressed it, but the update label does not prove that it was corrected.