Description
Duration: 4 days
Master end-to-end data engineering with Azure Databricks and Unity Catalog. This course moves from foundational setup to production deployment, covering environment configuration and enterprise-grade governance. Learn to build robust ingestion pipelines, implement security with Unity Catalog, and deploy optimized workloads. By the end, you will have the practical skills to implement, secure, and maintain scalable lakehouse solutions that meet rigorous enterprise requirements.
Target Audience
They should be comfortable working with SQL and have experience using Python, including notebooks, for data engineering tasks.
Prerequisites
The target audience is data engineers who have fundamental knowledge of data analytics concepts, a basic understanding of cloud storage, and familiarity with data organization principles. Learners are expected to have a good understanding of Azure Databricks workspaces and Unity Catalog, along with familiarity with data access patterns and core data engineering and data warehouse concepts. In addition, they should have foundational knowledge of Azure security, including Microsoft Entra ID, and be familiar with Git version control fundamentals.
What’s included?
- Authorized Courseware
- Intensive Hands on Skills Development with an Experienced Subject Matter Expert
- Hands on practice on real Servers and extended lab support 1.800.482.3172
- Examination Vouchers & Onsite Certification Testing – (excluding Adobe and PMP Boot Camps)
- Academy Code of Honor: Test Pass Guarantee
- Optional: Package for Hotel Accommodations, Lunch and Transportation
With several convenient training delivery methods offered, The Code Academy makes getting the training you need easy. Whether you prefer to learn in a classroom or an online live learning virtual environment, training videos hosted online, and private group classes hosted at your site. We offer expert instruction to individuals, government agencies, non-profits, and corporations. Our live classes, on-sites, and online training videos all feature certified instructors who teach a detailed curriculum and share their expertise and insights with trainees. No matter how you prefer to receive the training, you can count on The Code Academy for an engaging and effective learning experience.
Methods
- Instructor Led (the best training format we offer)
- Live Online Classroom – Online Instructor Led
- Self-Paced Video
Speak to an Admissions Representative for complete details
| Start | Finish | Public Price | Public Enroll | Private Price | Private Enroll |
|---|---|---|---|---|---|
| 11/9/2026 | 11/12/2026 | ||||
| 11/30/2026 | 12/3/2026 | ||||
| 12/21/2026 | 12/24/2026 | ||||
| 1/11/2027 | 1/14/2027 | ||||
| 2/1/2027 | 2/4/2027 | ||||
| 2/22/2027 | 2/25/2027 | ||||
| 3/15/2027 | 3/18/2027 | ||||
| 4/5/2027 | 4/8/2027 | ||||
| 4/26/2027 | 4/29/2027 | ||||
| 5/17/2027 | 5/20/2027 | ||||
| 6/7/2027 | 6/10/2027 | ||||
| 6/28/2027 | 7/1/2027 | ||||
| 7/19/2027 | 7/22/2027 | ||||
| 8/9/2027 | 8/12/2027 | ||||
| 8/30/2027 | 9/2/2027 | ||||
| 9/20/2027 | 9/23/2027 |
Learning Objectives
- Set up and configure an Azure Databricks environment
- Secure and govern Unity Catalog objects in Azure Databricks
- Prepare and process data with Azure Databricks
- Deploy and maintain data pipelines and workloads with Azure Databricks
Course Outline
Module 1: Set up and configure an Azure Databricks environment
- Explore Azure Databricks
- Understand Azure Databricks architecture
- Understand Azure Databricks Integrations
- Select and Configure Compute in Azure Databricks
- Create and organize objects in Unity Catalog
Module 2: Secure and govern Unity Catalog objects in Azure Databricks
- Secure Unity Catalog objects
- Govern Unity Catalog objects
Module 3: Prepare and process data with Azure Databricks
- Design and implement data modeling with Azure Databricks
- Ingest data into Unity Catalog
- Cleanse, transform, and load data into Unity Catalog
- Implement and manage data quality constraints with Azure Databricks
Module 4: Deploy and maintain data pipelines and workloads with Azure Databricks
- Design and implement data pipelines with Azure Databricks
- Implement Lakeflow Jobs with Azure Databricks
- Implement development lifecycle processes in Azure Databricks
- Monitor, troubleshoot and optimize workloads in Azure Databricks
