Statements (109)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Azure_Functions
gptkb:cloud_services |
| gptkbp:available_at |
gptkb:Azure_Marketplace
|
| gptkbp:can_be_configured_for |
auto-scaling
geo-disaster recovery |
| gptkbp:can_be_used_for |
data integration
real-time dashboards |
| gptkbp:can_be_used_with |
gptkb:Azure_Data_Lake_Storage
gptkb:Azure_Stream_Analytics gptkb:Power_BI gptkb:Azure_Functions |
| gptkbp:can_handle |
millions of events per second
|
| gptkbp:developed_by |
gptkb:Microsoft
|
| gptkbp:enables |
data ingestion
|
| https://www.w3.org/2000/01/rdf-schema#label |
Event Hubs
|
| gptkbp:integrates_with |
gptkb:Apache_Kafka
gptkb:Azure_Stream_Analytics |
| gptkbp:is_accessible_by |
gptkb:developers
gptkb:Azure_Portal REST API SDKs data scientists command line interface |
| gptkbp:is_available_in |
multiple regions
|
| gptkbp:is_compatible_with |
gptkb:Azure_Data_Lake_Storage
gptkb:Apache_Kafka gptkb:Azure_Blob_Storage data lakes data warehouses |
| gptkbp:is_designed_for |
high availability
low latency distributed systems high throughput |
| gptkbp:is_documented_in |
Microsoft documentation
|
| gptkbp:is_integrated_with |
gptkb:Power_BI
gptkb:Azure_Functions gptkb:Azure_Logic_Apps third-party services |
| gptkbp:is_managed_by |
gptkb:Microsoft
gptkb:Azure |
| gptkbp:is_monitored_by |
gptkb:monitor
|
| gptkbp:is_optimized_for |
high availability
|
| gptkbp:is_part_of |
gptkb:Microsoft_Azure
gptkb:Azure_Event_Hubs event-driven architecture serverless architecture Microsoft Azure ecosystem cloud computing solutions big data solutions data analytics solutions |
| gptkbp:is_scalable |
millions of events per second
thousands of partitions thousands of consumers |
| gptkbp:is_supported_by |
community forums
|
| gptkbp:is_used_for |
gptkb:Telehealth_Services
customer engagement machine learning applications log aggregation social media analytics monitoring applications streaming analytics event-driven microservices big data pipelines |
| gptkbp:is_used_in |
gptkb:Telecommunications
gptkb:financial_services gaming applications transportation systems retail analytics healthcare applications data pipelines Io T applications |
| gptkbp:is_utilized_by |
retail companies
|
| gptkbp:offers |
high throughput
partitioned consumer model event ingestion event retention geo-disaster recovery |
| gptkbp:part_of |
gptkb:Azure
|
| gptkbp:provides |
event filtering
real-time data processing security features event streaming data streaming data buffering client libraries event processing capabilities event routing partitioned consumer model event retention |
| gptkbp:security |
gptkb:Azure_Active_Directory
|
| gptkbp:suitable_for |
machine learning applications
event sourcing data ingestion from devices |
| gptkbp:supports |
data transformation
data visualization multiple programming languages multiple protocols real-time analytics batch processing multi-tenant architecture multi-region deployment event publishing multiple consumer groups event serialization formats event schema |
| gptkbp:used_for |
big data processing
|
| gptkbp:bfsParent |
gptkb:Azure_Stream_Analytics
gptkb:Azure_Io_T_Suite |
| gptkbp:bfsLayer |
5
|