Azure Data Factory
Hybrid data integration at enterprise scale, made easy.
Learning
Learning Paths
Data integration at scale with Azure Data Factory or Azure Synapse Pipeline
Levels: Intermediate
Roles: Data Engineer, Data Scientist
Modules
- Integrate data with Azure Data Factory or Azure Synapse Pipeline
- Petabyte-scale ingestion with Azure Data Factory or Azure Synapse Pipeline
- Perform code-free transformation at scale with Azure Data Factory or Azure Synapse Pipeline
- Populate slowly changing dimensions in Azure Synapse Analytics pipelines
- Orchestrate data movement and transformation in Azure Data Factory or Azure Synapse Pipeline
- Execute existing SSIS packages in Azure Data Factory or Azure Synapse Pipeline
- Operationalize your Azure Data Factory or Azure Synapse Pipeline
Learning Modules
Access sustainability data through Microsoft Dataverse API, build an Azure Data Factory pipeline, and query data using Azure Synapse Link in Microsoft Cloud for Sustainability.
Data ingestion is crucial in analytics. Microsoft Fabric's Data Factory offers Dataflows (Gen2) for visually creating multi-step data ingestion and transformation using Power Query Online.
Use Data Factory pipelines in Microsoft Fabric
Azure Architects design and recommend data integration solutions.
Petabyte-scale ingestion with Azure Data Factory or Azure Synapse Pipeline
Send and receive data using Azure Data Share and transform data using Azure Data Factory
Build a data pipeline in Azure Synapse Analytics
Use Azure Data Factory to add data that resides inside or outside the Azure platform into your search indexes.
Populate slowly changing dimensions in Azure Synapse Analytics pipelines
Run Azure Databricks Notebooks with Azure Data Factory
Evaluate whether Azure Data Factory can help you integrate your data sources. Describe how Azure Data Factory can ingest data from on-premises, multicloud and SaaS data sources.
Operationalize your Azure Data Factory or Azure Synapse Pipeline