Automate and secure data workflows with Azure Databricks
In a context where data volumes are skyrocketing, mastering data engineering has become a strategic priority for any organization. Azure Databricks offers a robust and scalable solution, designed to orchestrate, process, and monitor data pipelines efficiently. This training supports you in building modern data architectures based on the platform’s best practices.
You will learn how to industrialize your data workflows using powerful tools such as Delta Lake, Delta Live Tables, and SQL Warehouses. The goal is simple: help your teams gain efficiency while ensuring the quality, traceability, and security of your processes. Whether you want to automate data flows, manage complex environments, or ensure data compliance, this course is structured to meet those needs.
From continuous integration to data governance
Beyond basic data ingestion, this course helps you integrate strong professional practices. You’ll learn how to establish a smooth development cycle with CI/CD workflows, version notebooks, automate testing, and manage multiple environments. This part is essential for any organization looking to deliver data projects in production confidently.
Security and governance are also key pillars of the program. With Unity Catalog, you will learn how to trace access, define privacy rules, encrypt sensitive data, and anonymize specific fields. These practices meet today’s compliance requirements and build trust in your analytical processes.
Leverage the power of real-time data processing
The ability to process data as it arrives is a major competitive advantage. Azure Databricks gives you the tools to build streaming pipelines that meet this challenge. You’ll learn how to configure real-time data sources, handle out-of-order or late-arriving events, and maintain consistency in your results.
Performance optimization is another central focus of this course. You’ll be able to monitor workloads, control execution costs, apply autoscaling, and implement change data capture to keep your systems in sync.
A concrete and progressive approach
This training has been designed to balance clarity, skill development, and practical application. Each module introduces new features while reinforcing the foundations covered earlier. Even without prior data engineering experience, you’ll follow the course smoothly thanks to guided demos, hands-on labs, and real-world use cases.
You’ll gain a broad and detailed understanding of what Azure Databricks can offer today: from batch processing to real-time streaming, from quality management to continuous delivery, including automation and security. These skills will allow you to design effective, sustainable solutions aligned with business needs.
FAQ
Do I need prior experience in data engineering?
No, this course is designed for motivated beginners. Basic cloud knowledge is a plus.
Can I follow the course without Spark knowledge?
Yes, the concepts are introduced progressively with practical examples.
Are there practical exercises included?
Yes, each module includes hands-on labs to help you practice independently.
What concrete skills will I acquire?
You’ll learn to build streaming pipelines, automate workflows, secure data, and deploy projects in production.
Is there a badge at the end of the course?
Yes, a completion badge is awarded to validate and showcase your achievements.