Databricks Certified Data Engineer Associate - Practical Guide: Unlock the Power of Databricks and Spark for Data Engineering

Yogesh Raheja, Thinknyx Technologies

₱12247.99

Video May 2026 5hrs 2mins 1st Edition

Yogesh Raheja, Thinknyx Technologies

₱12247.99

Video May 2026 5hrs 2mins 1st Edition

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Key benefits

Step-by-step demonstrations covering Databricks features and Apache Spark operations
Comprehensive learning on Delta Lake, performance tuning, and data governance
End-to-end capstone project to apply skills in real-world data engineering tasks

Description

This course is designed to equip you with the skills needed to become a certified Databricks Data Engineer Associate. Starting with an introduction to Databricks, you will explore its role in modern data engineering and its integration with Apache Spark. From understanding basic data processing operations to building powerful data pipelines, you’ll gain hands-on experience in Spark architecture and execution, Delta Lake for data management, and the use of Databricks’ advanced features like Unity Catalog for governance and Delta Live Tables for orchestration. You’ll dive deep into Spark fundamentals, learning about data transformations, actions, and lazy evaluation, followed by the performance optimization techniques essential for data-heavy applications. The course also covers crucial data warehousing concepts like OLAP and OLTP, along with Delta Lake’s ACID transactions and time travel for data management. Through practical demonstrations, you will learn how to sign up for Databricks, create and manage notebooks, ingest and transform data, and optimize performance using partitions and parallelism. The course culminates in a comprehensive capstone project that ties everything together, giving you the experience and knowledge to pass the Databricks Certified Data Engineer Associate exam and excel in data engineering tasks.

Who is this book for?

This course is designed for aspiring data engineers, data scientists, and IT professionals who wish to build a strong foundation in Databricks and Apache Spark. It's ideal for individuals looking to gain hands-on experience in data engineering workflows, Spark execution, performance optimization, and Delta Lake for managing large-scale data. Familiarity with data engineering concepts or programming basics will be helpful, but the course is suitable for both beginners and those seeking certification.

What you will learn

Gain proficiency in Databricks UI and workflow management
Master Spark fundamentals and understand execution plans
Learn how to optimize data processing with partitions and parallelism
Develop skills in managing data with Delta Lake and implementing ACID transactions
Create and orchestrate data pipelines using Delta Live Tables and GitHub integration
Successfully complete the capstone project to showcase your skills

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