Beginner Level

Microsoft Certified Azure Data Fundamentals (DP-900)

★ 4.8 (300 learners) 60 hrs total 11 modules

Microsoft Azure Azure DevOps Databricks Azure Data Factory

Only 6 seats left · Next batch starts 8 Aug 2026

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60 hrs: of content
11 modules: in curriculum
16 projects: hands-on builds
Beginner: difficulty

Curriculum covers

Frameworks you'll master

4 tools & frameworks

Microsoft Azure Azure DevOps Databricks Azure Data Factory

Course Curriculum

11 modules · 60 hours · 24 live sessions

ADF Overview 1 sessions

Azure Data Factory (ADF) Overview
Azure Storage Solutions Overview

Azure Data Fundamentals – DP 900 1 sessions

Introduction

Azure Data Fundamentals – Exploring Data Formats & Data stores – DP 900 1 sessions

Data Formats & Data Stores – 10,000 Feet Overview

Databases in Azure Scenarios 1 sessions

DP – 900 Azure Data Fundamentals – Exploring Azure Storage
Getting started with Azure Storage
Managed and Unmanaged Block Storage in Azure
Getting started with Azure File Storage – Azure Files
Understanding Azure BLOB Storage and Tiers

Environment Setup 1 sessions

Creating Azure Data Factory
Creating Azure Storage Account
Creating Azure Data Lake Storage Gen2
Creating Azure SQL Database
Installing Azure Studio

Data Ingestion from Azure BLOB 9 sessions

Data Ingestion from Azure BLOB Module Overview
Copy Activity Overview
Naming Standards
Linked Services & Data Sets
Control Flow Activities Validation Activity6) Control Flow Activities Get Metadata, If Condition, Web Activities
Control Flow Activities Delete Activity
ADF Triggers Overview
Creating Event Trigger
Data Ingestion From HTTP
Data Ingestion from HTTP Module Overview
ECDC Data Overview
Create Pipeline
Pipelines Variables
Pipeline Parameters & Schedule Trigger
Control Flow Activities
Linked Service Parameters
Metadata Driven Pipeline
Data Flows Cases & Deaths Data Transformation
Data Flows Module Overview
Introduction to Data Flows
Data Flow UI Overview
Transformation Requirement Overview
Source Transformation
Filter Transformation
Select Transformation
Pivot Transformation
Lookup Transformation
Sink Transformation
Create ADF Pipelines
Data Flows Hospital Admissions Data Transformation
Data Flows Module Overview
Transformation Requirement
Source Transformation (Assignment)
Select Transformation (Assignment)
Lookup Country (Assignment)
Conditional Split Transformation
Source Transformation – Dim Date
Derived Column Transformation
Aggregate Transformation
Join Transformation
Pivot Transformation (Assignment)
Sort Transformation
Sink Transformation (Assignment)
Create ADF Pipeline (Assignment)

Prepare Data for HDInsight & DataBricks 3 sessions

HDInsight Activity
HDInsight Activity Module Overview
Create HDInsight Cluster
Tour of HDInsight UI
Transformation Requirement
Hive Script Walkthrough
Create ADF Pipeline with Hive Acitivity
Delete HDInsight Cluster
Data Bricks Activity
Data Bricks Activity Module Overview
Create Azure Databricks Service
Create Azure Databricks Cluster
Mounting Azure Data Lake Storage
Transformation Requirements
Create ADF Pipeline Databricks Notebook Activity

Copy Data to Azure SQL 1 sessions

Copy Data to Azure SQL Module Overview
Copy Data Activity Cases & Deaths Data
Copy Data Activity Hospital Admissions
Copy Data Activity Testing Data

Making Pipelines Production Ready 1 sessions

Making Pipelines Production Ready Module Overview
Option 1 Pipeline Dependency
Option 2 Trigger Dependency

Monitoring 5 sessions

Monitoring Module Overview
Azure Data Factory Monitor
Creating Alerts
Monitor Pipeline Failures
Rerun Failed Pipelines
Reporting on Metrics
Introduction to Azure Monitor
Azure Data Factory Analytics
Continuous Integration/Continuous Delivery (CI/CD)
Continuous Integration/Continuous Delivery (CI/CD) Module Overview
Introduction to Continuous Integration/Continuous Delivery (CI/CD)
Introduction to CI/CD for Azure Data Factory
Overview of Azure DevOps
Azure DevOps Environment Setup
Azure Data Factory Environment Setup
Azure Data Factory Git Configuration
Azure Data Factory Code Development using Git
Release Pipeline Design
Creating ARM Deployment Taks
Pipeline Variables
Add Production Stage
YAML Build Pipeline Script Walkthrough
Update Release Pipeline

CI/CD Scenario Data Lake Access 1 sessions

Access to Data Lake Storage Overview
Data Lake Storage Setup
Using Managed Identity Grant access to Data Lake
Using Managed Identity Create Data Factory Pipelines
Using Managed Identity Release Pipelines changes
Using Access Keys Solution Options Overview
Using Access Keys Key Vault Setup
Using Access Keys Create Data Factory Pipeline
Using Access Keys Release Pipeline Changes

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Batch Schedule

⚡ Seats filling fast — only 6 remaining across all batches

Available Batches
Batch Type	Schedule	Duration	Next Start Date	Availability
Weekend	Sat & Sun, 10am–1pm	10 weeks	8 Aug 2026	Available
Weekday	Mon–Fri, 7–9pm	8 weeks	10 Aug 2026	Available
Fast-track	Mon–Sun, 6 hours/day	2 weeks	17 Aug 2026	Available

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