Properties (54)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:Streaming_service
|
| gptkbp:canBe |
horizontally
|
| gptkbp:developedBy |
gptkb:Apache_Software_Foundation
|
| gptkbp:hasAccreditation |
data to various sinks
|
| gptkbp:hasFeature |
dynamic scaling
checkpointing backpressure handling support for various data formats integration_with_SQL |
| gptkbp:hasOccupation |
active user community
|
| https://www.w3.org/2000/01/rdf-schema#label |
Apache Spark Streaming
|
| gptkbp:integratesWith |
gptkb:Amazon_S3
gptkb:Apache_Kafka gptkb:Apache_Flume HDFS |
| gptkbp:isAvailableIn |
gptkb:Maven_Central
GitHub |
| gptkbp:isCompatibleWith |
gptkb:Spark_GraphX
gptkb:Spark_SQL Spark MLlib |
| gptkbp:isDocumentedIn |
Apache Spark documentation
|
| gptkbp:isFacilitatedBy |
high-throughput data streams
|
| gptkbp:isInvolvedIn |
October 2013
|
| gptkbp:isOptimizedFor |
low-latency processing
|
| gptkbp:isPartOf |
big data processing frameworks
Apache_Spark_ecosystem |
| gptkbp:isUsedBy |
data scientists
software developers data engineers |
| gptkbp:isUsedFor |
cloud platforms
data enrichment data ingestion data transformation real-time monitoring on-premises servers recommendation systems event detection alerting systems machine learning libraries log processing graph processing libraries streaming_ETL |
| gptkbp:isUsedIn |
big data applications
|
| gptkbp:mayHave |
data from various sources
|
| gptkbp:provides |
micro-batch processing
real-time dashboards streaming analytics fault_tolerance |
| gptkbp:publishedIn |
Scala
|
| gptkbp:supports |
real-time data processing
windowed computations stateful processing |
| gptkbp:uses |
RDDs
DStream API |