Streaming Data Processing

GPTKB entity

Statements (60)
Predicate Object
gptkbp:instanceOf Data Processing Paradigm
gptkbp:alsoKnownAs gptkb:Stream_Processing
gptkbp:challenge Scalability
Fault Tolerance
Latency Optimization
State Management
Data Consistency
Backpressure Handling
Event Time vs Processing Time
Handling Out-of-order Events
Windowing Semantics
gptkbp:characteristic Scalability
Fault Tolerance
Low Latency
Event Time Processing
High Throughput
At-least-once Semantics
Exactly-once Semantics
In-order Processing
Windowing
Stateful Processing
gptkbp:commonFramework gptkb:Apache_Kafka
gptkb:Amazon_Kinesis
gptkb:Apache_Flink
gptkb:Apache_Storm
gptkb:Google_Dataflow
gptkb:Samza
gptkb:Microsoft_Azure_Stream_Analytics
gptkb:Apache_Spark_Streaming
Heron
gptkbp:contrastsWith Batch Data Processing
gptkbp:enables Dynamic Scaling
Real-time Decision Making
Immediate Feedback
Continuous Data Ingestion
Time-sensitive Applications
https://www.w3.org/2000/01/rdf-schema#label Streaming Data Processing
gptkbp:input Continuous Data Streams
gptkbp:output Alerts
Dashboards
Aggregated Results
Processed Streams
gptkbp:relatedConcept gptkb:Complex_Event_Processing
Message Queues
Data Pipelines
Kappa Architecture
Lambda Architecture
Publish-Subscribe Systems
gptkbp:usedFor gptkb:IoT_Applications
Monitoring
Recommendation Systems
Fraud Detection
Log Analysis
Real-time Analytics
Continuous Computation
Event Detection
Financial Market Analysis
Sensor Data Processing
gptkbp:bfsParent gptkb:Databricks_Data_Transformation
gptkbp:bfsLayer 8