Azure Data Factory: an Introduction
Overview
Introduction to Azure Data Factory
What's New in Azure Data Factory
Course Syllabus
Create data factory - User interface (UI)
Prerequisites
Azure Storage account
Create a data factory
Create a linked service
Create datasets
Create a pipeline
Debug the pipeline
Trigger the pipeline manually
Monitor the pipeline
Trigger the pipeline on a schedule
Create data factory - Copy data tool
Prerequisites
Azure subscription
Azure roles
Azure Storage account
Create a data factory
Start the Copy Data tool
Create an Azure Data Factory using Azure CLI
Prerequisites
Prepare a container and test file
Create a data factory
Create a linked service and datasets
Create and run the pipeline
Clean up resources
Create an Azure Data Factory using PowerShell
Prerequisites
Azure Storage account
Azure PowerShell
Create a data factory
Create a linked service
Create datasets
Create a pipeline
Create a pipeline run
Monitor the pipeline run
Review deployed resources
Clean up resources
Create a data factory and pipeline using .NET SDK
Prerequisites
Create an application in Azure Active Directory
Create a Visual Studio project
Install NuGet packages
Create a data factory client
Create a data factory
Create a linked service
Create a dataset
Create a pipeline
Create a pipeline run
Monitor a pipeline run
Run the code
Create a data factory and pipeline using Python
Prerequisites
Create and upload an input file
Install the Python package
Create a data factory client
Create a data factory
Create a linked service
Create datasets
Create a pipeline
Create a pipeline run
Monitor a pipeline run
Full script
Run the code
Clean up resources
Create an Azure data factory and pipeline by using the REST API
Prerequisites
Set global variables
Authenticate with Azure AD
Create a data factory
Create linked services
Create datasets
Create a pipeline
Create pipeline run
Parameterize your pipeline
Create parameterized input dataset
Create parameterized output dataset
Create parameterized pipeline
Create pipeline run with parameters
Monitor pipeline
Verify the output
Clean up resources
Create an Azure Data Factory using ARM template
Prerequisites
Review template
Deploy the template
Review deployed resources
Clean up resources
Copy and ingest data
Copy data tool
Copy activity in pipeline
Copy data from on-premises to the cloud
Amazon S3 to ADLS Gen2
Incremental copy pattern overview
Incremental pattern with change tracking
Incremental SQL DB single table
Incremental SQL DB multiple tables
CDC copy pipeline with SQL MI
Copy from SQL DB to Synapse SQL Pools
Copy SAP BW to ADLS Gen2
Copy Office 365 to Azure Blob Store
Bulk copy multiple tables
Copy pipeline with managed VNet
Transform Data
Transform Data with Mapping Data Flows
Prepare data with data wrangling
Using External Services
Control Flow
Run SSIS Packages in Azure
Lineage
End to end Labs
Managed Virtual Networks
Self-hosted integration runtime
Paul Durai
Azure Data Factory Trainer
Paul Durai is a certified professional with over 5 years of experience in their field, and He is Azure Data Factory domain working professional, and have many live projects that they will use during training sessions.
Azure Data Factory Training in Bangalore Key Skills
- Continuous Integration
- Continuous Delivery
- Continuous Deployment
- Infrastructure as a code
- Orchestration
- Virtualization
- Monitoring
- Code repository
- Build Tools
- Artifactory
- Azure Data Factory
- Azure
Advantages in TutorsBot
- Placement Team for Job Assurance to Course Enroller
- Professional Trainer from IT Industry
- Deidicated Support Team for Training and Development
- Practical Training Program includes Hand On Project Session
- More than 150 Subject Matter Expert Community
- Five Years of Training Services Provider
- Placed More than 850 Students
