In this lab, you will walk through the steps to move data using the data factory.
Duration: 60 minutes
Big data requires a service that can orchestrate and operationalize processes to refine these enormous stores of raw data into actionable business insights. Azure Data Factory is a managed cloud service that's built for these complex hybrid extract-transform-load (ETL), extract-load-transform (ELT), and data integration projects.
Azure Data Factory is a Microsoft cloud service offered by the Azure platform that allows data integration from many different sources. Azure Data Factory is a perfect solution when in need of building hybrid extract-transform-load (ETL), extract-load-transform (ELT) and data integration pipelines.
Azure Data Factory is Azure's cloud ETL service for scale-out serverless data integration and data transformation.
It offers a code-free UI for intuitive authoring and single-pane-of-glass monitoring and management.
You can also lift and shift existing SSIS packages to Azure and run them with full compatibility in ADF. SSIS Integration Runtime offers a fully managed service, so you don't have to worry about infrastructure management.
Launching Lab Environment
Create Storage Accounts
Upload a Blob object
Create a Data Factory
Create a Pipeline