Microsoft Azure Data Factory
GPTKB entity
Statements (52)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:Financial_Services_Company
|
| gptkbp:developedBy |
gptkb:Microsoft
|
| gptkbp:enables |
Data orchestration
|
| gptkbp:features |
Data lineage
Triggers Integration runtime Mapping data flows |
| gptkbp:has |
Version control
User interface Parameterization Triggers management Activity runs Monitoring dashboard |
| gptkbp:hasClient |
On-premises data sources
Cloud data sources |
| https://www.w3.org/2000/01/rdf-schema#label |
Microsoft Azure Data Factory
|
| gptkbp:integratesWith |
Azure services
|
| gptkbp:isAvailableIn |
Multiple regions
|
| gptkbp:isCompatibleWith |
gptkb:Azure_Synapse_Analytics
gptkb:SQL_Server Power BI Azure Databricks Cosmos DB |
| gptkbp:isPartOf |
gptkb:Microsoft_Azure
|
| gptkbp:isSuitableFor |
Yes
|
| gptkbp:isUsedBy |
Business analysts
Data scientists Data engineers |
| gptkbp:isUsedFor |
Big data processing
Data migration Data integration Data transformation |
| gptkbp:offers |
Performance monitoring
Data governance features Monitoring tools Cost management tools |
| gptkbp:primaryFunction |
Data movement and transformation
|
| gptkbp:provides |
Data connectors
Data flow capabilities |
| gptkbp:releaseDate |
2015
|
| gptkbp:security |
Yes
|
| gptkbp:supports |
Data validation
Azure Functions Azure Logic Apps Data lakes Data warehouses Data profiling Data quality checks Hybrid data integration REST_APIs ETL_processes |
| gptkbp:uses |
Pipelines
|