Statements (66)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Library
|
| gptkbp:bfsLayer |
3
|
| gptkbp:bfsParent |
gptkb:API
|
| gptkbp:allows |
compositional stream transformations
|
| gptkbp:can_be_extended_by |
custom stream operators
|
| gptkbp:can_be_used_with |
ZIO effects
ZIO's concurrency model ZIO's environment management |
| gptkbp:constructed_in |
gptkb:ZIO_fibers
|
| gptkbp:controls |
error management
|
| gptkbp:enables |
resource safety
|
| gptkbp:facilitates |
event-driven architectures
|
| https://www.w3.org/2000/01/rdf-schema#label |
ZIO Streams
|
| gptkbp:is_compatible_with |
gptkb:Akka_Streams
gptkb:Skrull |
| gptkbp:is_designed_for |
functional programming
highly concurrent applications |
| gptkbp:is_designed_to |
reduce boilerplate code
handle large data sets simplify asynchronous programming handle asynchronous data flows provide a functional API support functional composition |
| gptkbp:is_influenced_by |
Reactive Streams specification
|
| gptkbp:is_integrated_with |
HTTP services
|
| gptkbp:is_maintained_by |
ZIO community
|
| gptkbp:is_optimized_for |
high throughput
|
| gptkbp:is_part_of |
gptkb:ZIO_ecosystem
functional reactive programming Scala ecosystem |
| gptkbp:is_tested_for |
ZIO test framework
|
| gptkbp:is_used_for |
data ingestion
data synchronization real-time analytics data aggregation batch processing event sourcing file processing build data-driven applications create reactive applications implement complex workflows implement data pipelines implement reactive U Is implement reactive streams process events from message queues process user interactions stream data from AP Is stream data from sensors streaming telemetry data |
| gptkbp:is_used_in |
microservices architecture
data pipelines |
| gptkbp:provides |
streaming data processing
asynchronous stream processing streaming backends streaming operators |
| gptkbp:suitable_for |
cloud-native applications
real-time data processing financial data processing data transformation tasks streaming video processing Io T applications machine learning data processing |
| gptkbp:supports |
backpressure
streaming from databases streaming from various sources transformations like map and filter |