DP-3011: Implementing a Data Analytics Solution with Azure Databricks
Course Overview
Course Description
Unlock the full potential of Azure Databricks in this intensive, instructor-led course designed for data professionals. DP3011 teaches you how to build end-to-end data analytics solutions using Apache Spark, Delta Lake, and Databricks Workflows. You’ll learn to design efficient lakehouse architectures, ingest and transform large datasets, deploy scalable pipelines, and integrate with Azure Data Factory for enterprise-grade orchestration. Ideal for data engineers and data scientists, this course aligns with the DP203 Data Engineer Associate certification.
Target Audience
This course is perfect for:
Data Engineers, Data Analysts, and Data Scientists responsible for architecting scalable data analytics pipelines using Azure Databricks and Delta Lake
Professionals preparing for the DP203: Data Engineering on Azure certification
Prerequisites:
Experience with data processing and analytics
Familiarity with Python, SQL, and cloud data storage formats like Parquet or Delta
Course Outline
Module 1: Explore Azure Databricks
Provision workspaces and configure collaborative environments
Identify key use cases and personas for Databricks analytics
Module 2: Perform Data Analysis with Azure Databricks
Ingest, explore, and transform data using notebooks and DataFrames
Visualize data insights and patterns at scale
Module 3: Use Apache Spark in Azure Databricks
Understand Spark architecture and create optimized clusters
Perform large-scale data processing and file transformations
Module 4: Manage Data with Delta Lake
Implement Delta Lake for ACID transactions, schema enforcement, and time travel
Build reliable data storage models to ensure data consistency
Module 5: Build Data Pipelines with Delta Live Tables
Design declarative, real-time data pipelines using Delta Live Tables
Automate and monitor streaming and batch processing pipelines
Module 6: Deploy Workloads with Azure Databricks Workflows
Orchestrate jobs, notebooks, and production pipelines using Databricks Workflows
Integrate notebooks into orchestrated workflows using Azure Data Factory pipelines
HandsOn Experience
Expect 40–50% of course time to be hands-on: deploying Databricks clusters, performing exploratory data analysis, building Delta Lake tables, constructing pipelines, and implementing orchestrated workflows—all reinforcing Azure Databricks analytics capabilities.
Skills You’ll Gain
By the end of DP3011, you’ll be able to:
Set up and manage Azure Databricks workspaces and clusters
Analyze large datasets using Apache Spark and notebooks
Build robust Delta Lake architectures with ACID compliance
Automate data ingestion pipelines using Delta Live Tables
Orchestrate production-grade workflows and integrate with Azure Data Factory
Ready to Get Started?
Join thousands of professionals who have advanced their careers with our training programs.
Join Scheduled Training
Find upcoming sessions for this course and register for instructor-led training with other professionals.
View ScheduleCustom Training Solution
Need training for your team? We'll create a customized program that fits your organization's specific needs.
Get Custom Quote