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Mammoth Club All levels 18 sections 51 lectures

Databricks Certified Data Engineer Professional Exam Preparation with 10 Practice Exams

Building a data pipeline is one thing. Engineering an enterprise-grade data platform that is performant, reliable, and secure at scale is another. This is the next level of data engineering.

01
Skill level
All levels
02
Sections
18
03
Lectures
51
04
Instructor
Team Mammoth
What's inside

This course includes.

18
Sections
51
Lectures
45
Quizzes
Certificate of completion
Included
Mobile and desktop access
Included
AI learning assistance
Included
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Course content

Curriculum & lectures.

8 sections · 32 lectures
+ Welcome! 2 lectures
What You'll Learn Locked
What You Need Locked
+ 01 Delta Lake Internals and Advanced Tooling 5 lectures
01 Transaction Log Deep Dive Locked
02 Optimistic Concurrency Control Locked
03 Delta Clone Operations Locked
04 Advanced Indexing Strategies Locked
05 Databricks SQL Optimization Locked
+ 02 Advanced Data Processing and Optimization 6 lectures
01 Partition Hint Strategies Locked
02 File Size Management Locked
03 Advanced Update Patterns Locked
04 Structured Streaming Mastery Locked
05 CDC and CDF Implementation Locked
06 Performance Problem Patterns Locked
+ 03 Enterprise Data Modeling 5 lectures
01 Bronze to Silver Transformation Patterns Locked
02 Change Data Feed Architecture Locked
03 Multiplex Bronze Tables Locked
04 Data Quality and Constraints Locked
05 Dimensional Modeling in Lakehouse Locked
+ 04 Security and Governance Implementation 2 lectures
01 Dynamic Views for Security Locked
02 Advanced Access Control Locked
+ 05 Monitoring, Logging, and Performance 4 lectures
01 Spark UI Analysis Locked
02 Cluster Monitoring Tools Locked
03 Application Debugging Locked
04 SLA Design and Cost Control Locked
+ 06 Testing and Deployment 5 lectures
01 Python Package Development Locked
02 Job Orchestration Locked
03 Databricks CLI Automation Locked
04 REST API Integration Locked
05 Testing Strategies Locked
+ 07 Exam Preparation Workshop 3 lectures
01 Exam Strategy and Techniques Locked
02 Practice Exam Walkthrough Locked
03 Hands-on Mock Exam Locked
Description

About this course.

Go beyond basic ETL and learn to design and implement sophisticated data solutions, mastering advanced optimization techniques, complex data modeling strategies, and robust governance controls on the Databricks platform.


✅ Design and implement advanced data modeling solutions, including medallion architecture best practices and schema evolution.

✅ Master deep optimization techniques for Spark and Delta Lake, from advanced partitioning strategies to file compaction.

✅ Implement robust data governance and security using Unity Catalog, including data lineage and fine-grained access control.

✅ Learn to troubleshoot complex production failures, monitor pipeline performance, and leverage advanced tooling like the Spark UI.


For the senior data engineer tasked with leading projects and making critical architectural decisions, this course provides the expert-level knowledge needed to design and maintain a world-class data platform.


🎁 Includes 10 advanced, scenario-based practice exams. Refine your architectural thinking. Optimize with precision.


If you're ready to move from building pipelines to architecting enterprise data solutions and validating your place as a leader in the field, this is your professional-grade schematic.

Ready to start building?

Building a data pipeline is one thing. Engineering an enterprise-grade data platform that is performant, reliable, and secure at scale is another. This is the next level of data engineering.

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