DP-750T00: Implement data engineering solutions using Azure Databricks
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.
Duration :
Classroom |
Live Online |
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.
1. Set Up and Configure an Azure Databricks Environment
- Configure Azure Databricks workspaces and clusters
- Develop solutions using notebooks and repositories
- Implement Git-based version control
- Configure development environments and resources
- Apply Databricks administration best practices
2. Secure and Govern Unity Catalog Objects in Azure Databricks
- Implement data governance with Unity Catalog
- Manage permissions and access control
- Secure catalogs, schemas, tables, and other data assets
- Track and govern enterprise data usage
3. Prepare and Process Data with Azure Databricks
- Ingest data from various sources
- Transform and prepare data for analytics workloads
- Work with Delta Lake tables
- Implement batch and streaming data processing
- Optimize data engineering workflows and performance
4. Deploy and Maintain Data Pipelines and Workloads with Azure Databricks
- Build and automate data pipelines
- Deploy workloads to production environments
- Monitor and troubleshoot pipelines and jobs
- Maintain scalable lakehouse solutions
- Optimize performance and operational efficiency
Learners should be comfortable working with SQL and have experience using Python, including notebooks, for data engineering tasks. 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.
| Location | Dates | Time (UTC+2 ) | Delivery Format | Language |
|---|---|---|---|---|
| MS Teams* | 2,4,6,9,11,13-Νοε | 17:30-22:00 | Live Online | Ελληνικά |
| MS Teams* | 1,3,8,10-Δεκ | 9:30-16:30 | Live Online | Ελληνικά |
* Σύγχρονη εξ αποστάσεως εκπαίδευση με εισηγητή – Virtual Class
Last Updated : 15/05/2025 (DP-700T00)
