Implement a Data Analytics Solution with Azure Databricks

Learn how to harness the power of Apache Spark and powerful clusters running on the Azure Databricks platform to run data analytics workloads in a data lakehouse.

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Overview

This course explores how to use Databricks and Apache Spark on Azure to take data projects from exploration to production.

  • Learn how to ingest, transform, and analyze large-scale datasets with Spark DataFrames, Spark SQL, and PySpark
  • Build confidence in managing distributed data processing
  • Get hands-on with the Databricks workspace—navigating clusters and creating and optimizing Delta tables
  • Dive into data engineering practices, including designing ETL pipelines, handling schema evolution, and enforcing data quality.
  • Automate and manage workloads with Lakeflow Jobs and pipelines
  • Explore governance and security capabilities such as Unity Catalog and Purview integration

Skills Covered

  • Explore Azure Databricks
  • Use Apache spark in Azure Databricks
  • Use Delta Lake in Azure Databricks
  • Use SQL Warehouses in Azure Databricks
  • Run Azure Databricks Notebooks with Azure Data Factory

Prerequisites

Note: There is no exam directly associated with this course. However, Microsoft offers an extensive portfolio of industry-recognized certifications that can help you stand out as a tech professional in 2025 and beyond. Achieving Microsoft certification is one of the most effective ways to validate your skills and accelerate your career.

With our expert-led training, you’ll be prepared to:

  • Master in-demand capabilities across Cloud, Data & AI, and Cybersecurity — areas driving global digital transformation.
  • Prove your expertise with a globally respected credential recognized by employers worldwide.
  • Advance your career by enhancing your credibility, increasing your earning potential, and opening doors to new opportunities.

Explore our full range of Microsoft certifications and start building the skills that matter today.

Target Audience

  • IT Professionals

Course Curriculum

Module 1: Explore Azure Databricks

Azure Databricks is a cloud service that provides a scalable platform for data analytics using Apache Spark.

Learning objectives

In this module, you’ll learn how to:

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

Prerequisites

Before starting this module, you should have a fundamental knowledge of data analytics concepts. Consider completing Azure Data Fundamentals certification before starting this module.

Module 2: Use Apache Spark in Azure Databricks

Azure Databricks is built on Apache Spark and enables data engineers and analysts to run Spark jobs to transform, analyze and visualize data at scale.

Learning objectives

In this module, you’ll learn how to:

  • 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.

Prerequisites

Before starting this module, you should have a basic knowledge of Azure Databricks. Consider completing the Explore Azure Databricks module before this one.

Module 3: Use Delta Lake in Azure Databricks

Delta Lake is an open source relational storage area for Spark that you can use to implement a data lakehouse architecture in Azure Databricks.

Learning objectives

In this module, you’ll learn how to:

  • 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.

Prerequisites

Before starting this module, you should know how to use Apache Spark in Azure Databricks. Consider completing the Use Apache Spark in Azure Databricks module before this one.

Module 4: Use SQL Warehouses in Azure Databricks

Azure Databricks provides SQL Warehouses that enable data analysts to work with data using familiar relational SQL queries.

Learning objectives

In this module, you’ll learn how to:

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

Prerequisites

Before starting this module, you should have a basic knowledge of Azure Databricks. Consider completing the Explore Azure Databricks module before this one.

Module 5: Run Azure Databricks Notebooks with Azure Data Factory

Using pipelines in Azure Data Factory to run notebooks in Azure Databricks enables you to automate data engineering processes at cloud scale.

Learning objectives

In this module, you’ll learn how to:

  • 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.

Prerequisites

Before starting this module, you should have a basic knowledge of Azure Databricks. Consider completing the Explore Azure Databricks module before this one.

Dates & Locations

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June 23, 2026 - June 23, 2026

Location: Kuala Lumpur
Modal: ILT
Availability: TBC
RM 1200

June 23, 2026 - June 23, 2026

Location: Online
Modal: VILT
Availability: TBC
RM 1200

September 22, 2026 - September 22, 2026

Location: Kuala Lumpur
Modal: ILT
Availability: TBC
RM 1200

September 22, 2026 - September 22, 2026

Location: Online
Modal: VILT
Availability: TBC
RM 1200

December 9, 2026 - December 9, 2026

Location: Kuala Lumpur
Modal: ILT
Availability: TBC
RM 1200

December 9, 2026 - December 9, 2026

Location: Online
Modal: VILT
Availability: TBC
RM 1200
Trainocate exam and cert

Exam & Certification

Note: There is no exam directly associated with this course. However, Microsoft offers an extensive portfolio of industry-recognized certifications that can help you stand out as a tech professional in 2025 and beyond. Achieving Microsoft certification is one of the most effective ways to validate your skills and accelerate your career.

With our expert-led training, you’ll be prepared to:

  • Master in-demand capabilities across Cloud, Data & AI, and Cybersecurity — areas driving global digital transformation.
  • Prove your expertise with a globally respected credential recognized by employers worldwide.
  • Advance your career by enhancing your credibility, increasing your earning potential, and opening doors to new opportunities.

Explore our full range of Microsoft certifications and start building the skills that matter today.

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