This course teaches you to set up and manage Databricks on Google Cloud, covering everything from account setup to production workflows. Learn to build dynamic schemas, transform data with bronze, silver, and gold tables, and automate pipelines using Git and orchestration tools for real-world data engineering projects.

This course takes you step-by-step through building a comprehensive Databricks project using Google Cloud Platform (GCP). Starting with Databricks account creation and workspace setup, you'll learn how to configure your development environment, including GCS buckets, clusters, and storage credentials. Each step is designed to prepare you for real-world projects, with an emphasis on dynamic schema creation, table transformations, and data orchestration. The focus then shifts to transforming raw data into actionable insights with the Bronze, Silver, and Gold table stages, critical for building scalable data engineering pipelines. You'll also be introduced to the setup of UAT (User Acceptance Testing) and PRD (Production) environments, with guidance on Git integration and version control. This structured workflow ensures that you can transition seamlessly from development to deployment. By the end of the course, you will have gained hands-on experience in setting up complex data pipelines and orchestrating them on Databricks using GCP. You will be ready to tackle large-scale data engineering challenges, optimize workflows, and deploy production-ready systems. This course is ideal for professionals looking to elevate their data engineering skills with a focus on cloud-based solutions. This course is designed for data engineers, cloud professionals, and developers who want to learn how to work with Databricks on Google Cloud Platform. A basic understanding of cloud computing, GCP, and data engineering concepts is recommended but not required. Familiarity with version control systems like Git will also be beneficial. The course offers hands-on, project-based learning, with a clear focus on real-world applications. You'll set up Databricks environments on GCP, transform data through various stages, and orchestrate complex workflows. By completing the project, you will develop the skills to deploy data pipelines in a professional environment. This course is based on The Complete Databricks Project on Google Cloud (GCP), by Shaik Saidhul. Copyright © 2025 Shaik Saidhul All rights reserved. No part of this course may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you.