Dp-750: Azure Databricks Data Engineer Associate Exam Prep
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.49 GB | Duration: 12h 36m
Prepare for the DP-750 Exam with Instructor led hands-on labs and videos
What you'll learn
Implement and manage data ingestion using batch and streaming in Azure Databricks
Design and manage Delta Lake tables with ACID transactions, schema evolution, and time travel
Transform and process data using Apache Spark (DataFrames, SQL) in Databricks
Optimize and monitor data workloads using partitioning, Z-Ordering, caching, and performance tuning
Requirements
Basic understanding of data concepts (tables, files, databases)
Introductory knowledge of Python (recommended but not mandatory)
Familiarity with SQL for querying and data transformation
Basic awareness of cloud concepts (Azure fundamentals is helpful)
Description
Master Azure Databricks and confidently prepare for the DP-750: Azure Databricks Data Engineer Associate certification with a course designed for real-world impact.This course goes beyond theory to help you build production-ready data engineering solutions using Azure Databricks and Apache Spark. Whether you are preparing for the certification or aiming to transition into a data engineering role, this course equips you with the exact skills required in modern data platforms.You will start by understanding how to design and implement scalable data pipelines, followed by deep hands-on experience with Delta Lake, including ACID transactions, schema enforcement, schema evolution, and time travel. You will also learn how to implement both batch and streaming ingestion pipelines using Auto Loader and Structured Streaming.The course covers data transformation using Spark DataFrames and SQL, along with implementing the Medallion Architecture (Bronze, Silver, Gold) to structure reliable and maintainable pipelines. You will also explore Unity Catalog for data governance, security, and access control-an essential component for enterprise-grade solutions.To ensure optimal performance, you will learn key optimization techniques such as partitioning, Z-Ordering, caching, and query tuning, along with monitoring and troubleshooting Databricks workloads.By the end of this course, you will be fully prepared to pass the DP-750 certification and have the practical skills to design, build, and optimize data engineering solutions using Azure Databricks in real-world environments.
Data engineers preparing for the DP-750: Azure Databricks Data Engineer Associate certification,Developers and analysts looking to build scalable data pipelines using Azure Databricks,Professionals transitioning into data engineering roles with a focus on Spark and Delta Lake,Azure professionals seeking hands-on experience with Databricks, Unity Catalog, and data workflows
Dp-750: Azure Databricks Data Engineer Associate Exam Prep
