DP-3011: Implementing a Data Analytics Solution with Azure Data bricks

4.77(2,770 Ratings)

Duration

1 Day

Upcoming Batch

16 December 2026

Batch Options

4 hours & 8 hours

Language

English / Arabic

Course Overview

The DP-3011 course, “Implementing a Data Analytics Solution with Azure Databricks,” is designed to provide comprehensive training on using Azure Databricks to build and manage data analytics solutions. This course covers the fundamentals of Azure Databricks, including its architecture, features, and integration with other Azure services. Participants will learn to use Azure Databricks to process large volumes of data, create and manage clusters, and develop scalable data pipelines.

The course delves into the core concepts of data analytics, such as data exploration, transformation, and visualization, utilizing Apache Spark capabilities within the Azure Databricks environment. Students will gain hands-on experience with notebooks, libraries, and workflows to develop and deploy analytics solutions effectively. Emphasis is placed on practical skills for implementing end-to-end data solutions, including data ingestion, cleansing, and analysis, tailored to meet the needs of modern data-driven organizations.

By the end of the course, participants will be equipped with the skills to leverage Azure Databricks for optimizing data processing workflows, performing complex data analysis, and integrating analytics solutions within a broader cloud ecosystem.

Course Content

5 modules · 18 topics

01Module 1: Explore Azure Databricks 3 topics

Provision an Azure Databricks workspace
Identify core workloads and personas for Azure Databricks.
Describe key concepts of an Azure Databricks solution.

02Module 2: Use Apache Spark in Azure Databricks4 topics

Describe key elements of the Apache Spark architecture.
Create and configure a Spark cluster.
Use Spark to process and analyze data stored in files.
Use Spark to visualize data.

03Module 3: Use Delta Lake in Azure Databricks 4 topics

Describe core features and capabilities of Delta Lake.
Create and use Delta Lake tables in Azure Databricks.
Create Spark catalog tables for Delta Lake data.
Use Delta Lake tables for streaming data.

04Module 4: Use SQL Warehouses in Azure Databricks 3 topics

Create and configure SQL Warehouses in Azure Databricks.
Create databases and tables.
Create queries and dashboards.

05 Module 5: Run Azure Databricks Notebooks with Azure Data Factory 4 topics

Describe how Azure Databricks notebooks can be run in a pipeline.
Create an Azure Data Factory linked service for Azure Databricks.
Use a Notebook activity in a pipeline.
Pass parameters to a notebook.

Schedule Dates

4 upcoming batches

Session Type

Physical sessions run at our training facility.

DP-3011: Implementing a Data Analytics Solution with Azure Data bricks
Batch Dates	Duration	Batch Options	Language
16 December 2026Next	1 Day	4 hours & 8 hours	English / Arabic
16 March 2027	1 Day	4 hours & 8 hours	English / Arabic
16 June 2027	1 Day	4 hours & 8 hours	English / Arabic
16 September 2027	1 Day	4 hours & 8 hours	English / Arabic

Can’t find a suitable date? Request a schedule that fits your team.

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FAQs

What is the DP-3011 course about?

The DP-3011 course focuses on implementing data analytics solutions using Azure Databricks. It covers how to design, develop, and manage big data solutions and advanced analytics within the Azure environment, utilizing Azure Databricks’ capabilities for data processing and machine learning.

What are the prerequisites for this course?

Participants should have a foundational understanding of data analytics and experience with data engineering concepts. Familiarity with Azure services and some experience with programming languages such as Python or Scala is recommended.

What topics are covered in the course?

The course includes:

Introduction to Azure Databricks and its architecture
Setting up and configuring Azure Databricks environments
Creating and managing data pipelines
Performing data exploration and transformation
Implementing machine learning workflows using Databricks
Optimizing and managing Spark clusters
Integrating Databricks with other Azure services

What resources are provided with the course?

Participants receive access to course materials, including slides, documentation, and lab exercises. Additional resources may include online forums and support from instructors for further assistance.

How can I enroll in the course?

To enroll in the DP-3011 course, visit CounselTrain’s website or contact their support team for information on course schedules, registration, and pricing.

What if I need further assistance or have more questions?

For additional information or specific inquiries, please contact CounselTrain’s support team or visit their website for further guidance and resources.

This course includes:

Soft copy of Courseware
Certificate of Course Completion
Experienced and Professional Trainer
Lab and Exercises During Training
Sample Questions for Exam Preparation
Mock Test on the Last Day of Training
Exam Registration Guidance
5-Star Training Environment

Upcoming Batch

16 December 2026

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How We Deliver

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