Data integration at scale with Azure Data Factory or Azure Synapse Pipeline

Offered By: Microsoft via Microsoft Learn

Tags

Microsoft Azure Courses Big Data Courses Azure Data Factory Courses Data Transformation Courses Data Management Courses Data Integration Courses SQL Server Integration Services (SSIS) Courses Data Ingestion Courses

Course Description

Overview

Module 1: Integrate data with Azure Data Factory or Azure Synapse Pipeline

In this module, you will:

Understand Azure Data Factory
Describe data integration patterns
Explain the data factory process
Understand Azure Data Factory components
Azure Data Factory security
Set up Azure Data Factory
Create linked services
Create datasets
Create data factory activities and pipelines
Manage integration runtime

Module 2: Petabyte-scale ingestion with Azure Data Factory or Azure Synapse Pipeline

Introduction
List the data factory ingestion methods
Describe data factory connectors
Exercise: Use the data factory copy activity
Exercise: Manage the self hosted integration runtime
Exercise: Setup the Azure integration runtime
Understand data ingestion security considerations
Knowledge check
Summary

Module 3: Perform code-free transformation at scale with Azure Data Factory or Azure Synapse Pipeline

Introduction
Explain Data Factory transformation methods
Describe Data Factory transformation types
Exercise - Author an Azure Data Factory mapping data flow
Debug mapping data flow
Exercise - Use Data Factory wrangling data
Exercise - Use compute transformations within Data Factory
Exercise - Integrate SQL Server Integration Services packages within Data Factory
Knowledge check
Summary

Module 4: Populate slowly changing dimensions in Azure Synapse Analytics pipelines

In this module, you will:

Describe slowly changing dimensions
Choose between slowly changing dimension types

Module 5: Orchestrate data movement and transformation in Azure Data Factory or Azure Synapse Pipeline

Introduction
Understand data factory control flow
Work with data factory pipelines
Debug data factory pipelines
Add parameters to data factory components
Integrate a Notebook within Azure Synapse Pipelines
Execute data factory packages
Knowledge check
Summary

Module 6: Execute existing SSIS packages in Azure Data Factory or Azure Synapse Pipeline

Introduction
Describe SQL Server Integration Services
Understand the Azure-SIS integration runtime
Set-up Azure-SIS integration runtime
Run SSIS packages in Azure Data Factory
Migrate SSIS packages to Azure Data Factory
Knowledge check
Summary

Module 7: Operationalize your Azure Data Factory or Azure Synapse Pipeline

In this module, you will:

Configure a git repository with a development factory
Create and merge a feature branch
Deploy a release pipeline
Visually monitor pipeline runs
Integrate with Azure Monitor
Set up alerts
Rerun pipeline runs
Learn about Azure Data Factory security

Syllabus

Module 1: Integrate data with Azure Data Factory or Azure Synapse Pipeline

Introduction
Understand Azure Data Factory
Describe data integration patterns
Explain the data factory process
Understand Azure Data Factory components
Azure Data Factory security
Set-up Azure Data Factory
Create linked services
Create datasets
Create data factory activities and pipelines
Manage integration runtimes
Knowledge check
Summary

Module 2: Petabyte-scale ingestion with Azure Data Factory or Azure Synapse Pipeline

Introduction
List the data factory ingestion methods
Describe data factory connectors
Exercise - Use the data factory copy activity
Exercise - Manage the self-hosted integration runtime
Exercise - Set up the Azure integration runtime
Understand data ingestion security considerations
Knowledge check
Summary

Module 3: Perform code-free transformation at scale with Azure Data Factory or Azure Synapse Pipeline

Introduction
Explain Azure Data Factory transformation methods
Describe Azure Data Factory transformation types
Exercise - Author an Azure Data Factory mapping data flow
Debug mapping data flow
Exercise - Use Azure Data Factory wrangling data
Exercise - Use compute transformations within Azure Data Factory
Exercise - Integrate SQL server integration services packages within Azure Data Factory
Knowledge check
Summary

Module 4: Populate slowly changing dimensions in Azure Synapse Analytics pipelines

Introduction
Describe slowly changing dimensions
Choose between slowly changing dimension types
Exercise - Design and implement a Type 1 slowly changing dimension with mapping data flows
Knowledge check
Summary

Module 5: Orchestrate data movement and transformation in Azure Data Factory or Azure Synapse Pipeline

Introduction
Understand data factory control flow
Work with data factory pipelines
Debug data factory pipelines
Add parameters to data factory components
Exercise - Integrate a Notebook within Azure Synapse Pipelines
Execute data factory packages
Knowledge check
Summary

Module 6: Execute existing SSIS packages in Azure Data Factory or Azure Synapse Pipeline

Introduction
Describe SQL Server integration services
Understand the Azure SSIS Integration Runtime
Set-up Azure SSIS Integration Runtime
Run SSIS packages in Azure Data Factory
Migrate SSIS packages to Azure Data Factory
Knowledge check
Summary

Module 7: Operationalize your Azure Data Factory or Azure Synapse Pipeline

Introduction
Understand the language support in Azure Data Factory
Manage source control of Azure Data Factory solutions
Continuous integration and deployment
Monitor Azure Data Factory pipelines
Set up alerts for Azure Data Factory
Rerun Azure Data Factory pipelines
Knowledge check
Summary

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