Description
Databricks Certified Data Engineer Professional -Preparation course. This comprehensive course helps learners develop advanced data engineering skills on the Databricks and Lakehouse platforms. In this course, key topics include developing data processing code with Python and SQL, building and managing scalable and reliable ETL pipelines using Lakeflow and streaming updates, advanced data modeling with Delta Lake and Liquid Clustering, implementing security and data governance mechanisms with Unity Catalog, optimizing performance and costs, monitoring and troubleshooting jobs and pipelines, and deploying CI/CD code using Databricks Asset Bundles. The goal of this course is to provide the practical knowledge and skills needed to design, implement, and manage enterprise-level data systems and succeed in the relevant international exam.
What you will learn:
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Develop code for data processing using Python and SQL, including scalable project structures and dependency management.
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Build and test ETL pipelines for batch and streaming data using Lakeflow and streaming updates.
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Design and implement pipelines for receiving data from various sources and formats, along with data cleansing and quality assurance processes.
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Secure data sharing using Delta Sharing and Lakehouse Federation configuration.
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Monitor, troubleshoot, and alert on resources, costs, and job performance using system tables and platform monitoring tools.
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Optimize query performance and costs with techniques such as Liquid Clustering and advanced metadata management.
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Ensure data security and compliance with data governance laws by leveraging Unity Catalog, access control (ACL), and data masking.
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Deploy and manage platform code using CI/CD tools and Databricks Asset Bundles.
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Scalable data modeling for analytical workloads using Delta Lake.
This course is suitable for people who:
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They intend to pass the Databricks Professional Data Engineer certification exam.
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Data Engineers are entry-level Databricks professionals who want to advance their skills to a professional level.
Databricks Certified Data Engineer Professional -Preparation Course Specifications
- Publisher : Udemy
- Teacher : Derar Alhussein | 10x Databricks Certified , Acadford ™
- Language: English
- Level : All Levels
- Lectures : 61
- Duration : 5 hours and 2 minutes
Course syllabus
Databricks Certified Data Engineer Professional -Preparation Course Prerequisites
- MUST HAVE – All the skills of an “Associate” Data Engineer on Databricks platform
- If you feel you lack these skills, you should first study my preparation course on Udemy for the Associate-level certification. I covered there all the fundamental concepts of Databricks Lakehouse with hands-on training.
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: English
Quality: 1080p
The 2026/9 version has increased the number of lessons by 1 compared to 2026/7.
Download link
File(s) password: www.downloadly.ir
File size
2.41 GB