Statements (70)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:concert_tour
|
| gptkbp:bfsLayer |
3
|
| gptkbp:bfsParent |
gptkb:philosopher
gptkb:Microsoft gptkb:concert_tour |
| gptkbp:can_be_used_with |
machine learning models
|
| gptkbp:controls |
millions of events per second
|
| gptkbp:developed_by |
gptkb:Microsoft
|
| https://www.w3.org/2000/01/rdf-schema#label |
Azure Event Hubs
|
| gptkbp:integrates_with |
gptkb:Azure_Stream_Analytics
gptkb:park |
| gptkbp:is_accessible_by |
gptkb:Azure_Portal
|
| gptkbp:is_available_in |
multiple Azure regions
|
| gptkbp:is_available_on |
on-demand
in multiple pricing tiers |
| gptkbp:is_compatible_with |
gptkb:Azure_Data_Lake_Storage
gptkb:Azure_API_Management gptkb:Azure_Dev_Ops RESTAP Is |
| gptkbp:is_integrated_with |
gptkb:philosopher
gptkb:Azure_Machine_Learning gptkb:Azure_Event_Grid gptkb:Power_BI gptkb:Cloud_Computing_Service |
| gptkbp:is_optimized_for |
high throughput
|
| gptkbp:is_part_of |
gptkb:Azure_Analytics_Services
Azure cloud services Azure ecosystem Azure Data Services Azure Event Services |
| gptkbp:is_scalable |
horizontally
|
| gptkbp:is_used_by |
gptkb:software
enterprises |
| gptkbp:is_used_for |
data collection
data integration data pipeline data visualization real-time analytics real-time monitoring streaming data ingestion data streaming log aggregation streaming analytics data streaming applications telemetry data processing |
| gptkbp:managed_by |
gptkb:Azure_Resource_Manager
|
| gptkbp:offers |
managed service
partitioned consumer model event streaming capabilities |
| gptkbp:provides |
monitoring capabilities
security features data retention policies client libraries real-time data ingestion event processing capabilities SD Ks for various platforms event hub namespaces |
| gptkbp:setting |
geo-disaster recovery
|
| gptkbp:suitable_for |
event sourcing
serverless architectures Io T applications |
| gptkbp:supports |
event-driven architectures
multi-tenancy multiple programming languages big data analytics data partitioning data serialization formats schema registry multiple consumer groups event processing frameworks |