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Databricks Data Engineering with AWS
Orchestrate production pipelines with Lakeflow Jobs — DAGs, retries, control flow, REST API and CLI. Build a complete production lakehouse for a real e-commerce business, from ingestion through five gold-layer outputs. — 93% off through Aug 16, 4.8★ on Udemy.
by Prashant Kumar Pandey · ⭐ 4.8 via Udemy · 431 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 13, 2026 to August 13, 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 13, 2026
Last checked
Aug 13
Price and coupon status are recorded from a periodic sync of Udemy’s public catalog. This snapshot was taken on August 13, 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
4.8 / 5
Popularity
431 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 13, 2026Listed by CoursesWyn — price recorded at $9.99Listed
Aug 13, 2026Coupon checked — checkout price $9.99 · listed until Aug 16Working
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 13, 2026 |
| Level | All Levels |
| Content | 28 hours 30 minutes · 2 downloadable resources |
| Language | English |
| Requirements | Working knowledge of Apache Spark — DataFrames, transformations, and basic Spark SQL · Comfortable writing Python and SQL — both are used throughout the course and capstone |
| Certificate | Yes, on completion |
| Access | Lifetime, mobile & TV |
What you'll learn From the course description
Set up and govern a production Databricks workspace on AWS using Unity Catalog
Master Delta Lake internals — ACID transactions, time travel, constraints, and performance tuning
Design Medallion Architecture pipelines, first manually, then declaratively with Lakeflow Declarative Pipelines
Ingest data at scale with Lakeflow Connect — SaaS connectors, database CDC, and Auto Loader
Orchestrate production pipelines with Lakeflow Jobs — DAGs, retries, control flow, REST API and CLI
Build a complete production lakehouse for a real e-commerce business, from ingestion through five gold-layer outputs
Write unit and integration tests for Databricks pipeline code with pytest
Package and deploy pipelines using Databricks Asset Bundles (DABs)
Build a CI/CD pipeline with GitHub Actions that tests, validates, and deploys to a UAT environment
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