Microsoft Azure Data Factory

GPTKB entity

Statements (67)
Predicate Object
gptkbp:instance_of gptkb:advertising
gptkbp:can_be_configured_for Data Quality Checks
gptkbp:can_be_used_for gptkb:Data_Analytics
gptkb:Data_Visualization
Data Backup
Real-Time Data Processing
Data Migration
Data Migration to Cloud
Data Processing Automation
Data Migration from On-Premises
gptkbp:can_be_used_with gptkb:Azure_Synapse_Analytics
gptkbp:connects On-Premises Data Sources
gptkbp:developed_by gptkb:Microsoft
gptkbp:enables Scheduled Data Processing
gptkbp:has Monitoring Capabilities
https://www.w3.org/2000/01/rdf-schema#label Microsoft Azure Data Factory
gptkbp:integrates_with Azure Services
gptkbp:is_accessible_by Web Interface
gptkbp:is_available_for Enterprise Use
gptkbp:is_available_in Multiple Regions
gptkbp:is_available_on gptkb:Azure_Marketplace
gptkbp:is_compatible_with gptkb:Power_BI
gptkb:Azure_Logic_Apps
gptkb:Azure_Dev_Ops
gptkbp:is_integrated_with gptkb:Azure_Machine_Learning
gptkb:Azure_Functions
gptkbp:is_part_of gptkb:Microsoft_Azure
gptkb:Microsoft_Cloud_Services
Cloud Data Solutions
Azure Data Services
gptkbp:is_scalable gptkb:Yes
gptkbp:is_used_by Business Analysts
Data Engineers
gptkbp:is_used_for Data Pipeline Creation
gptkbp:offers Data Transformation
Data Lake Integration
Data Pipeline Automation
gptkbp:primary_function Data Orchestration
gptkbp:provides User Management
Data Connectivity
Integration Runtime
Data Source Management
Data Movement
Data Pipeline Scheduling
Data Pipeline Monitoring
Data Pipeline Templates
gptkbp:release_date gptkb:2015
gptkbp:service_type gptkb:cloud_services
gptkbp:supports gptkb:administration
gptkb:Data_Lake_Storage
Data Encryption
Data Warehousing
Data Cataloging
Big Data Processing
REST APIs
Version Control
Multiple Data Sources
ETL Processes
Data Transformation Services
Data Quality Services
Data Flows
Data Integration Workflows
Data Integration Patterns
Custom Activities
gptkbp:uses Pipelines
gptkbp:bfsParent gptkb:Microsoft
gptkbp:bfsLayer 4