|
gptkbp:instance_of
|
gptkb:cloud_services
|
|
gptkbp:analyzes
|
Data from multiple sources
|
|
gptkbp:can
|
Streaming data
|
|
gptkbp:can_be_used_for
|
Business intelligence
Predictive maintenance
Real-time monitoring
Data transformation
Fraud detection
Customer insights
Data aggregation
Social media analytics
Log and event data analysis
Telemetry data analysis
|
|
gptkbp:can_handle
|
High-velocity data streams
|
|
gptkbp:developed_by
|
gptkb:Microsoft
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Microsoft Azure Stream Analytics
|
|
gptkbp:integrates_with
|
Azure services
|
|
gptkbp:is_accessible_by
|
Web interface
|
|
gptkbp:is_available_in
|
Multiple regions
|
|
gptkbp:is_available_on
|
gptkb:Microsoft_Azure_Portal
|
|
gptkbp:is_compatible_with
|
REST APIs
|
|
gptkbp:is_integrated_with
|
gptkb:Azure_Functions
gptkb:Azure_Logic_Apps
|
|
gptkbp:is_monitored_by
|
gptkb:monitor
|
|
gptkbp:is_optimized_for
|
Cloud environments
|
|
gptkbp:is_part_of
|
gptkb:Microsoft_Azure
Microsoft Azure ecosystem
Big data solutions
Data analytics solutions
|
|
gptkbp:is_scalable
|
Global deployments
|
|
gptkbp:is_supported_by
|
Microsoft documentation
|
|
gptkbp:is_used_by
|
gptkb:developers
Businesses
Data scientists
|
|
gptkbp:is_used_for
|
Io T analytics
|
|
gptkbp:offers
|
Scalability
Compliance with regulations
Built-in machine learning capabilities
|
|
gptkbp:provides
|
Event-driven architecture
Real-time analytics
Data visualization tools
Real-time dashboards
|
|
gptkbp:provides_output_to
|
gptkb:Power_BI
|
|
gptkbp:scales
|
Automatically
|
|
gptkbp:security
|
Data encryption
|
|
gptkbp:suitable_for
|
Large datasets
|
|
gptkbp:supports
|
Event processing
Multiple input formats
|
|
gptkbp:supports_input_from
|
gptkb:Azure_Io_T_Hub
gptkb:Azure_Event_Hubs
|
|
gptkbp:supports_output_to
|
gptkb:Azure_Cosmos_DB
gptkb:Azure_Blob_Storage
gptkb:Azure_SQL_Database
|
|
gptkbp:uses
|
SQL-like query language
|
|
gptkbp:bfsParent
|
gptkb:Microsoft
|
|
gptkbp:bfsLayer
|
4
|