Databricks Certified Data Engineer Associate - Practical Guide
Unlock the Power of Databricks and Spark for Data Engineering
Created by Yogesh Raheja
Explore Databricks and Apache Spark through practical, real-world scenarios that build your data engineering skills. Learn how to manage, optimize, and orchestrate data pipelines using modern tools and techniques. By the end, you'll be ready to tackle real data engineering challenges with confidence.
Packt | May 2026 | 302 min
What You Will Learn
You will progress through hands-on demonstrations and guided projects that mirror real data engineering tasks. Each section introduces a new concept, followed by practical exercises to reinforce your understanding. By applying what you learn in a capstone project, you'll develop the confidence and skills needed for professional data engineering work.
Key Features
- Build and optimize data pipelines using Databricks and Spark workflows
- Master Delta Lake for reliable data management and ACID transactions
- Apply performance tuning techniques for efficient large-scale data processing
Target Audience
This program is perfect for aspiring data engineers, data scientists, or IT professionals who want practical experience with Databricks and Spark. If you have some background in data concepts or programming and want to deepen your skills in building and optimizing data workflows, you'll find this course especially valuable.
