Statements (66)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:software
|
| gptkbp:bfsLayer |
6
|
| gptkbp:bfsParent |
gptkb:Drag_Race_Belgium
gptkb:Drag_Race:_Belgium |
| gptkbp:developed_by |
Streamz Team
|
| gptkbp:has_feature |
data quality
data enrichment data filtering data governance data ingestion data insights data interoperability data privacy data security data serialization data transformation data validation data visualization data visualization tools error handling event-driven architecture fault tolerance monitoring tools scalability data reporting data replication data retention data compression data aggregation data lineage asynchronous processing data partitioning data profiling data archiving data dashboards data compliance data exploration data routing multi-threading support streaming analytics data output checkpointing data processing pipelines data sampling data alerts event time processing backpressure handling windowing data notifications data transformation functions data testing custom transformations integration with SQL |
| https://www.w3.org/2000/01/rdf-schema#label |
Streamz
|
| gptkbp:integrates_with |
gptkb:Kafka
gptkb:Pandas gptkb:skincare_product gptkb:drug |
| gptkbp:is_described_as |
A library for building data pipelines in Python.
|
| gptkbp:language |
gptkb:Library
|
| gptkbp:license |
Apache License 2.0
|
| gptkbp:provides |
real-time data processing
|
| gptkbp:release_date |
gptkb:2020
|
| gptkbp:repository |
gptkb:archive
|
| gptkbp:supports |
stream processing
|
| gptkbp:used_in |
data science
|