Statements (66)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Cloud service
|
| gptkbp:developedBy |
gptkb:Microsoft
|
| gptkbp:enables |
event processing
|
| gptkbp:hasAccessTo |
Azure Portal
|
| https://www.w3.org/2000/01/rdf-schema#label |
Microsoft Azure Event Hubs
|
| gptkbp:integratesWith |
Azure services
|
| gptkbp:integration |
Azure Functions
|
| gptkbp:is_part_of |
Azure ecosystem
|
| gptkbp:isAvailableIn |
multiple regions
|
| gptkbp:isCompatibleWith |
gptkb:Apache_Kafka
cloud-native applications data warehouses stream processing frameworks |
| gptkbp:isDesignedFor |
high availability
|
| gptkbp:isFacilitatedBy |
millions of events per second
|
| gptkbp:isIntegratedWith |
Power BI
|
| gptkbp:isOptimizedFor |
low latency
high throughput |
| gptkbp:isPartOf |
gptkb:Microsoft_Azure
event-driven architecture serverless architecture big data solutions |
| gptkbp:isSuitableFor |
data ingestion
data lakes large workloads |
| gptkbp:isUsedBy |
IoT applications
|
| gptkbp:isUsedFor |
data collection
machine learning data analytics real-time monitoring system monitoring log aggregation application telemetry telemetry data ingestion |
| gptkbp:isUsedIn |
telecommunications
financial services retail analytics real-time dashboards healthcare_applications |
| gptkbp:offers |
monitoring tools
real-time analytics auto-scaling SDKs for various languages customizable retention policies event replay functionality |
| gptkbp:provides |
event archiving
event filtering security features data retention client libraries event routing Big data streaming event buffering event schema management |
| gptkbp:supports |
data integration
data migration data transformation data visualization multiple protocols multi-tenant architecture data streaming Event streaming event serialization multiple consumer groups REST_APIs |
| gptkbp:uses |
partitioning
|