DP-750T00: Data Engineering with Azure Databricks

The DP-750T00: Implement Data Engineering Solutions Using Azure Databricks course provides comprehensive training on building data engineering solutions with Azure Databricks. This 4-day instructor-led course covers Delta Lake, Apache Spark, Unity Catalog, automated workflows, and the medallion architecture for enterprise-grade data platforms. Esamatic srl, a Microsoft Learning Partner in Milan, delivers this course with Microsoft Certified Trainers.

• Certification Path: prepares for the Azure Databricks Data Engineer Associate certification
• Delta Lake: implementing ACID transactions, time travel, and optimized storage on the lakehouse
• Apache Spark: developing PySpark and Spark SQL for large-scale data processing and ETL
• Unity Catalog: implementing unified governance, access control, and data lineage across the platform
• Medallion Architecture: designing bronze, silver, and gold layers for progressive data refinement

Course Overview: DP-750T00 Data Engineering with Azure Databricks

Azure Databricks is an Apache Spark-based analytics platform that provides a unified environment for data engineering, data science, and machine learning. The DP-750T00 course provides comprehensive hands-on experience implementing Delta Lake storage, building ETL pipelines with Spark, configuring Unity Catalog governance, designing medallion architectures, and orchestrating automated workflows for production data platforms.

Learning Objectives

1. Implement Delta Lake storage solutions — create and manage Delta tables with ACID transactions, schema enforcement, time travel, and performance optimization
2. Build data processing pipelines with Spark — develop PySpark and Spark SQL notebooks for data ingestion, cleansing, transformation, and aggregation at scale
3. Configure Unity Catalog governance — implement centralized access control, data lineage tracking, and audit logging across Databricks workspaces
4. Design and orchestrate production workflows — build medallion architectures and automate data pipelines using Databricks Workflows and Delta Live Tables

Who Should Attend

This course is designed for data engineers, ETL developers, and data platform architects who want to build enterprise-grade data engineering solutions on Azure Databricks.

Career Benefits

Azure Databricks is a leading platform for enterprise data engineering. The DP-750T00 course prepares professionals for the Databricks Data Engineer certification — a credential that validates expertise in building lakehouse data platforms, in high demand for data engineers, data platform architects, and analytics engineers.

Prerequisites

• Experience with data engineering concepts and ETL workflows
• Proficiency in SQL and Python programming
• Familiarity with cloud computing concepts and Azure fundamentals
• Understanding of data warehouse and data lake architectures
• Basic knowledge of Apache Spark concepts

Frequently Asked Questions

What certification does DP-750T00 prepare for?

The DP-750T00 course aligns with the Databricks Certified Data Engineer Associate certification and Azure data engineering role-based certifications. It validates comprehensive Databricks data engineering skills.

What is Delta Lake?

Delta Lake is an open-source storage layer that brings ACID transactions, scalable metadata handling, and data versioning to data lakes. It is the foundation of the lakehouse architecture on Databricks.

How long is the DP-750T00 course?

The DP-750T00 is a 4-day instructor-led course (32 hours) covering comprehensive data engineering topics on Azure Databricks, with extensive hands-on labs and real-world scenarios.

Does the Databricks certification expire?

Databricks certifications are valid for two years from the date earned. Renewal requires passing the current version of the certification exam.