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Data integration at scale with Azure Data Factory or Azure Synapse…
Data integration at scale with Azure Data Factory or Azure Synapse Pipeline
Integrate data with Azure Data Factory or Azure Synapse Pipeline
Azure Data Factory
Data integration patterns
Extract
Transform
Load
Orchestration
Advanced Analytical Workloads
Data-driven workflows
Azure Data Factory components
Data factory activities and pipelines
Modern Data Warehouse workloads
Petabyte-scale ingestion with Azure Data Factory or Azure Synapse Pipeline
Data factory ingestion methods
Manage the self-hosted integration runtime
Azure integration runtime
Identity and access control
Data protection
Logging and monitoring
Perform code-free transformation at scale with Azure Data Factory or Azure Synapse Pipeline
Azure Data Factory transformation methods
Azure Data Factory transformation types
Author an Azure Data Factory mapping data flow
Debug mapping data flow
Use Azure Data Factory wrangling data
Integrating Azure Databricks notebooks with Azure Data Factory pipeline
Azure-SSIS integration runtime
Populate slowly changing dimensions in Azure Synapse Analytics pipelines
Describe slowly changing dimensions
Choose between slowly changing dimension types
Orchestrate data movement and transformation in Azure Data Factory or Azure Synapse Pipeline
Data factory control flow
Control flow
Invoke a pipeline from another pipeline
Work with data factory pipelines
Global parameters in Azure Data Factory
Execute existing SSIS packages in Azure Data Factory or Azure Synapse Pipeline
SQL Server integration services
SSIS projects
SSIS packages
Azure-SSIS Integration Runtime
Set-up Azure SSIS Integration Runtime
Run SSIS packages in Azure Data Factory
Supported SQL Server source and targets
Operationalize your Azure Data Factory or Azure Synapse Pipeline
Connect to a Git repository
Version control
Creating feature branches
Creating feature branches
Linked templates
Hotfix production environment
Monitor Azure Data Factory pipelines
Gantt view
Send and receive data using Azure Data Share and transform data using Azure Data Factory
Ingest data into Azure Data Lake Storage Gen 2
Ingest data from Azure SQL DB into ADLS gen2
Join and transform shared and owned data with Mapping Flow in Azure Data Factory
Sink dataset into Azure Synapse Analytics
Publish a pipeline run in Azure Data Factory