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Results 201 - 206 of 206 for host:beam.apache.org (0.02 sec)
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RunInference with Sklearn
Apache Beam is an open source, unified model and set of language-specific SDKs for defining and executing data processing workflows, and also data ingestion and integration flows, supporting Enterprise Integration Patterns (EIPs) and Domain Specific Languages (DSLs). Dataflow pipelines simplify the mechanics of large-scale batch and streaming data processing and can run on a number of runtimes like Apache Flink, Apache Spark, and Google Cloud Dataflow (a cloud service). Beam also brings DSL in different languages, allowing users to easily implement their data integration processes.beam.apache.org/documentation/transforms/python/elementwise/runinference-sklearn/Registered: Wed Feb 12 00:08:49 UTC 2025 - Last Modified: Tue Feb 11 17:40:18 UTC 2025 - 51K bytes - Viewed (0) -
Flatten
Apache Beam is an open source, unified model and set of language-specific SDKs for defining and executing data processing workflows, and also data ingestion and integration flows, supporting Enterprise Integration Patterns (EIPs) and Domain Specific Languages (DSLs). Dataflow pipelines simplify the mechanics of large-scale batch and streaming data processing and can run on a number of runtimes like Apache Flink, Apache Spark, and Google Cloud Dataflow (a cloud service). Beam also brings DSL in different languages, allowing users to easily implement their data integration processes.beam.apache.org/documentation/transforms/python/other/flatten/Registered: Wed Feb 12 00:08:14 UTC 2025 - Last Modified: Tue Feb 11 17:40:18 UTC 2025 - 39.7K bytes - Viewed (0) -
WithTimestamps
Apache Beam is an open source, unified model and set of language-specific SDKs for defining and executing data processing workflows, and also data ingestion and integration flows, supporting Enterprise Integration Patterns (EIPs) and Domain Specific Languages (DSLs). Dataflow pipelines simplify the mechanics of large-scale batch and streaming data processing and can run on a number of runtimes like Apache Flink, Apache Spark, and Google Cloud Dataflow (a cloud service). Beam also brings DSL in different languages, allowing users to easily implement their data integration processes.beam.apache.org/documentation/transforms/python/elementwise/withtimestamps/Registered: Wed Feb 12 00:08:24 UTC 2025 - Last Modified: Tue Feb 11 17:40:18 UTC 2025 - 43.7K bytes - Viewed (0) -
Java transform catalog overview
Apache Beam is an open source, unified model and set of language-specific SDKs for defining and executing data processing workflows, and also data ingestion and integration flows, supporting Enterprise Integration Patterns (EIPs) and Domain Specific Languages (DSLs). Dataflow pipelines simplify the mechanics of large-scale batch and streaming data processing and can run on a number of runtimes like Apache Flink, Apache Spark, and Google Cloud Dataflow (a cloud service). Beam also brings DSL in different languages, allowing users to easily implement their data integration processes.beam.apache.org/documentation/transforms/java/overview/Registered: Wed Feb 12 00:08:46 UTC 2025 - Last Modified: Tue Feb 11 17:40:18 UTC 2025 - 45.4K bytes - Viewed (0) -
GroupByKey
Apache Beam is an open source, unified model and set of language-specific SDKs for defining and executing data processing workflows, and also data ingestion and integration flows, supporting Enterprise Integration Patterns (EIPs) and Domain Specific Languages (DSLs). Dataflow pipelines simplify the mechanics of large-scale batch and streaming data processing and can run on a number of runtimes like Apache Flink, Apache Spark, and Google Cloud Dataflow (a cloud service). Beam also brings DSL in different languages, allowing users to easily implement their data integration processes.beam.apache.org/documentation/transforms/java/aggregation/groupbykey/Registered: Wed Feb 12 00:09:31 UTC 2025 - Last Modified: Tue Feb 11 17:40:18 UTC 2025 - 40K bytes - Viewed (0)