DP-3011: Implementing a Data Analytics Solution with Azure Databricks Training

DP-3011 is about building data analytics solutions using Azure Databricks and Apache Spark. You'll learn how to ingest and transform data, manage clusters, and process large datasets. The course also covers how Databricks fits with other Azure services, so you're not learning it in isolation.

📘 Azure 👥 147 Enrolled ⏱️ 1 Day 💼 Foundation Level ⭐ 4.9 | 113 Reviews

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Course Overview

The DP-3011: Implementing a Data Analytics Solution with Azure Databricks Training goes deep on Azure Databricks, Apache Spark, and Delta Lake. You'll provision workspaces, configure SQL Warehouses, and run notebooks inside Azure Data Factory. The focus is practical. You'll spend your time setting up real analytics workflows and understanding how the pieces connect, which is what matters when you're working with data at this level.

Mode of Training

🏫 Classroom 💻 Live Online 🧪 Blended 👨‍👩‍👧‍👦 Private Group

Upcoming Schedules

Start Date	Time	Duration	Mode	Price
Apr 13, 2026	9:00 am - 5:00 pm	1 Day	online	$599	GTR
Apr 27, 2026	9:00 am - 5:00 pm	1 Day	online	$599	GTR
May 11, 2026	9:00 am - 5:00 pm	1 Day	online	$599	GTR
May 26, 2026	9:00 am - 5:00 pm	1 Day	online	$599	GTR
Jun 08, 2026	9:00 am - 5:00 pm	1 Day	online	$599	GTR
Jun 22, 2026	9:00 am - 5:00 pm	1 Day	online	$599	GTR
Jul 06, 2026	9:00 am - 5:00 pm	1 Day	online	$599	GTR

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What you will learn

Introduction to Azure Databricks
Setting Up Azure Databricks Workspaces
Data Ingestion and Processing
Developing Data Pipelines
Data Exploration and Analysis
Machine Learning and AI Integration
Optimizing and Tuning Performance
Security and Compliance

Who Should Attend This Course?

Data Engineer
Data Scientist

Prerequisites

Basic Python skills (simple scripts, common data structures)
Basic SQL skills (filtering, joining, aggregating data)
Understanding of common data file formats: CSV, JSON, Parquet
Familiarity with Azure Portal
Basic knowledge of Azure Storage

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📘 DP-3011: Implementing a Data Analytics Solution with Azure Databricks Outline

Explore Azure Databricks

Provision an Azure Databricks workspace
Identify core workloads for Azure Databricks
Use Data Governance tools Unity Catalog and Microsoft Purview
Describe key concepts of an Azure Databricks solution

Perform data analysis with Azure Databricks

Ingest data using Azure Databricks.
Using the different data exploration tools in Azure Databricks.
Analyze data with DataFrame APIs.

Use Apache Spark in Azure Databricks

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

Manage data with Delta Lake

What Delta Lake is
How to create Delta Tables
How to use schema versioning and time travel in Delta Lake
How to maintain data integrity with Delta Lake

Build Lakeflow Declarative Pipelines

Describe Lakeflow Declarative Pipelines
Ingest data into Lakeflow Declarative Pipelines
Use Lakeflow Declarative Pipelines for real time data processing

Deploy workloads with Lakeflow Jobs

What Lakeflow Jobs are
The key components and benefits of Lakeflow Jobs
How to deploy workloads using Lakeflow Jobs

Still have questions?

Reach out to our learning advisors for personalized guidance on choosing the right course, group training, or enterprise packages.

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What You Get with Microtek Learning

Instructor-Led Excellence

✓ Certified Instructor-led Training
✓ Top Industry Trainers
✓ Official Student Handbooks

Measurable Learning Outcomes

✓ Pre- & Post-Training Assessments
✓ Practice Tests
✓ Exam-Oriented Curriculum

Real-World Skill Building

✓ Hands-on Activities & Scenarios
✓ Interactive Online Courses
✓ Peer Collaboration (Not in self-paced)

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