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DP-750: Microsoft Azure Databricks Data Engineer Associate
Pass the DP-750 Microsoft Azure Databricks Data Engineer Associate exam with this complete 2026 Udemy course. Master PySpark, Unity Catalog, Delta Lake, Lakeflow Pipelines, and CI/CD from scratch. Claim a verified Udemy coupon code today and save up to 93% on Databricks Data Engineer certification prep.
by Ansh Lamba JSR · ⭐ 4.5 via Udemy · 361 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 10, 2026 to August 10, 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 10, 2026
Last checked
Aug 10
Price and coupon status are recorded from a periodic sync of Udemy’s public catalog. This snapshot was taken on August 10, 2026. Prices are always confirmed at checkout on the provider’s site.
Deal score Computed, methodology below
6.4
/ 10
Discount depth
93%
Udemy rating
4.5 / 5
Popularity
361 students
Tracking length
2 days
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 10, 2026Listed by CoursesWyn — price recorded at $9.99Listed
Aug 10, 2026Coupon checked — checkout price $9.99 · listed until Sep 4Working
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 10, 2026 |
| Level | All Levels |
| Content | 25 hours 30 minutes · 2 downloadable resources |
| Language | English |
| Requirements | Basic SQL knowledge will be required · Basic Python programming knowledge will be required |
| Certificate | Yes, on completion |
| Access | Lifetime, mobile & TV |
What you'll learn From the course description
Understand the Azure Databricks Lakehouse architecture and its components including Delta Lake, Unity Catalog, Metastore, Volumes, Managed and External Tables
Build & Deploy Declarative Automation Bundles (DABs) for CI/CD workflows using Databricks CLI, Databricks Git Folders and Azure DevOps
Configure different compute types and performance settings including node count, autoscaling, termination, pooling with Photon engine, and cluster policies
Master data ingestion with Lakeflow Connect, Notebooks, Azure Data Factory, from various sources including Azure SQL, Data Lake, REST APIs, and Azure Event Hubs
Implement data transformation on both batch and streaming data using PySpark and SparkSQL. Handle Duplicates, Nulls, Filter, Joins, Unions, Except, Pivot, Merge
Build Lakeflow Declarative Pipelines with Streaming Tables and Materialized Views to create STAR Schema, Slowly Changing Dimensions (SCD Type) with Expectations
Orchestrate and schedule jobs and workflows using Databricks Jobs and Azure Data Factory. Implement error handling, retries, repair, restart, stop and alerts
Explore Databricks SQL Warehouse and learn how to work with Query Parameters, Query Caching, Query Snippets, SQL Alerts, AI/BI Genie
Optimize with caching, partitioning, Z-ordering, Liquid Clustering, VACUUM, Deletion Vector. Tackle Spilling, Skewing, and Shuffle issues using DAG and Spark UI
Secure and govern data with RLS, Data Masking, ABAC, Azure Key Vaults, Service Principals. Manage data lineage, access control, users & groups, retention policy
Implement monitoring and audit logging with Databricks, Azure Monitor, and Azure Log Analytics. Enable Delta Sharing to manage data sharing with external orgs
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