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Databricks Data Engineering: The Real World Simulator
Save on Databricks Data Engineering: The Real World Simulator with a verified Udemy coupon (checked August 2026). See current price, availability and course details.
by Malvik Vaghadia · ⭐ 5.0 via Udemy · 165 students · English
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$9.99$149.9993% OFF
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✓ 93% discount manually re-verified, not an estimate.
✓ Certificate + lifetime access included by Udemy.
⚠ Redemption-limited — can run out without notice.
Price history First-party data
Tracked since August 28, 2026 to August 28, 2026. Red dot = current price ($9.99) — CoursesWyn records the price on each sync.
Current price
$9.99
Original price
$149.99
Tracked since
August 28, 2026
Last checked
Aug 28
Price and coupon status are recorded from a periodic sync of Udemy’s public catalog. This snapshot was taken on August 28, 2026. Prices are always confirmed at checkout on the provider’s site.
Deal score Computed, methodology below
6.3
/ 10
Discount depth
93%
Udemy rating
5.0 / 5
Popularity
165 students
Tracking length
1 day
Score = weighted average of discount depth, how often CoursesWyn re-checks this code, historical price volatility, and how fast past redemptions were claimed. Not an editorial opinion on the course itself.
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Aug 28, 2026Listed by CoursesWyn — price recorded at $9.99Listed
Aug 28, 2026Coupon checked — checkout price $9.99Working
Course details Synced from Udemy
Fields below are pulled from Udemy’s public catalog and recorded when CoursesWyn syncs — they are catalog data, not editorial description.
| Last checked | August 28, 2026 |
| Provider | Udemy |
| Level | All Levels |
| Rating | 5.0 / 5 |
| Students | 165 |
| Content | 5 hours · 1 downloadable resources |
| Language | English |
| Requirements | Prior hands on Databricks experience is required. · Working knowledge of Python, SQL and PySpark DataFrames. |
| Topics | Development, Data Science, Databricks |
| Certificate | Yes, on completion |
| Access | Lifetime, mobile & TV |
Key Topics Covered From the course description
Build a production Databricks lakehouse end to end, from ten raw source feeds to a live operational app
Make the design decisions a data engineer is paid for, and defend them in review
Handle source data as it really arrives: duplicates, late rows, CDC and slowly changing history
Choose between imperative and declarative pipelines with the confidence of having shipped both
Own a pipeline in production, keeping it trustworthy and fixing it when it fails overnight
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Coupon & redemption FAQ
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