DP-3011: Implement a Data Analytics Solution with Azure Databricks Bootcamp

DP-3011: Implement a Data Analytics Solution with Azure Databricks Course Overview

Duration: 1 Day

Course Retirement Notice: Microsoft will retire DP-3011: Implement a Data Analytics Solution with Azure Databricks on September 30, 2026. Microsoft identifies DP-750T00: Implement data engineering solutions using Azure Databricks as the replacement course, aligned with the Microsoft Certified: Azure Databricks Data Engineer Associate certification.

DP-3011: Implement a Data Analytics Solution with Azure Databricks introduces participants to using Azure Databricks and Apache Spark for data analytics and data processing. The course covers data ingestion, transformation and analysis, Spark DataFrames, Spark SQL, PySpark, Delta tables, data engineering practices, workload orchestration, and data governance with technologies such as Unity Catalog and Microsoft Purview.

Course Objectives

This course is designed to develop practical knowledge of using Azure Databricks to analyze, transform, and manage data.

By the end of this course, participants should have a better understanding of how to:

• Work with Azure Databricks and Apache Spark
• Ingest, transform, and analyze data
• Use Spark SQL, PySpark, and DataFrames
• Work with Delta tables and data processing pipelines
• Apply orchestration, governance, and security concepts

Who Should Attend?

• Data Analysts
• Data Engineers
• Data Professionals
• IT professionals working with Azure data solutions

Course Prerequisites

Fundamental knowledge of Python and SQL is recommended, including basic scripting and SQL queries. Familiarity with common data formats, the Azure portal, Azure Storage, and general data concepts is also helpful.