Databricks Certified Data Engineer Professional -Preparation

Preparation course for Databricks Data Engineer Professional certification exam with hands-on training
4.49 (2410 reviews)
Udemy
platform
English
language
IT Certification
category
Databricks Certified Data Engineer Professional -Preparation
20 160
students
3 hours
content
May 2025
last update
$79.99
regular price

Why take this course?

🚀 Databricks Certified Data Engineer Professional - Preparation Course 🎓


Course Description

Are you on a quest to achieve the prestigious title of Certified Data Engineer Professional from Databricks? Your journey towards mastering data engineering and acing the certification exam begins right here! This comprehensive preparation course is meticulously designed to equip you with all the necessary knowledge, skills, and hands-on practice you need to succeed.

What You Will Learn

By the end of this course, you will be well-versed in:

  • Data Management Solutions 📊

    • Understanding Lakehouse architecture (bronze/silver/gold) and the physical layout of data.
    • Applying general data modeling concepts such as constraints, lookup tables, and handling slowly changing dimensions.
  • Building Data Processing Pipelines 🚧

    • Crafting both batch-processed and incrementally processed ETL pipelines using Spark and Delta Lake APIs.
    • Deduplicating data, implementing Change Data Capture (CDC), and optimizing workloads for efficiency.
  • Databricks Platform & Tools 🛠️

    • Getting familiar with Databricks CLI for deploying notebook-based workflows and the Databricks REST API for configuring and triggering production pipelines.
  • Security & Governance Best Practices 🔒

    • Managing cluster and job permissions using Access Control Lists (ACLs).
    • Creating dynamic views to control user/group access, ensuring compliance with regulations like GDPR & CCPA, and securely deleting data as requested.
  • Monitoring & Logging 🛠️

    • Configuring alerting and storage for production jobs, including recording logged metrics and debugging errors.
  • Code Management Best Practices 🏗️

    • Mastering relative imports, scheduling jobs, and orchestration to streamline your workflow.

Why Choose This Course?

This preparation course is designed to give you practical experience with hands-on training that mirrors real-world scenarios. You will not only learn the theory behind data engineering but also get the chance to apply what you've learned in a structured, supportive environment.

With a blend of theoretical knowledge and hands-on practice, this course ensures that you are fully prepared to tackle the Databricks Certified Data Engineer Professional certification exam with confidence. 🏅

Your Instructor

Your guide on this learning journey is Derar Alhussein, an expert instructor with a wealth of experience in data engineering and a passion for sharing knowledge. With Derar's guidance, you're in the best hands to prepare for your certification.


Embark on your path to becoming a Certified Data Engineer Professional today! 🎉 Join us and transform your career with the power of Databricks and Delta Lake. Let's get started! 🌟

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Comidoc Review

Our Verdict

The Databricks Certified Data Engineer Professional Preparation course offers a strong foundation for mastering Databricks Lakehouse, Spark, and Delta Lake APIs. Although the course contains up-to-date concepts and valuable hands-on training, the user interface appears outdated compared to the latest Databricks version. To enhance learning experience, consider improving alignment with certification exam guide and incorporating more practice tests and comprehensive explanations for specific steps in exercises.

What We Liked

  • Comprehensive coverage of Databricks certification objectives with real-world examples
  • Hands-on training providing practical experience in building data processing pipelines
  • Responsive instructor addressing student questions in a timely manner
  • Helpful for passing the certification exam, as reported by students

Potential Drawbacks

  • Outdated course content and user interface not aligned with the latest Databricks version
  • Incomplete topic coverage from the certification exam guide resulting in insufficient preparation
  • Lack of practice tests and adequate explanations for certain steps within Notebook exercises
  • Limited emphasis on the conceptual picture, causing difficulty in understanding how features integrate
5125510
udemy ID
31/01/2023
course created date
04/04/2023
course indexed date
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