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Results 51 - 60 of 209 for host:beam.apache.org (0.04 sec)
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Cache data using a shared object
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/patterns/shared-class/Registered: Mon Jul 07 00:06:45 UTC 2025 - Last Modified: Sat Jul 05 23:42:07 UTC 2025 - 52.4K bytes - Viewed (0) -
Multi-model pipelines
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/ml/multi-model-pipelines/Registered: Mon Jul 07 00:06:48 UTC 2025 - Last Modified: Sat Jul 05 23:42:07 UTC 2025 - 47.3K bytes - Viewed (0) -
RunInference with PyTorch
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-pytorch/Registered: Mon Jul 07 00:08:26 UTC 2025 - Last Modified: Sat Jul 05 23:42:07 UTC 2025 - 52.7K bytes - Viewed (0) -
Python 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/python/overview/Registered: Mon Jul 07 00:08:33 UTC 2025 - Last Modified: Sat Jul 05 23:42:07 UTC 2025 - 46.1K bytes - Viewed (0) -
Direct Runner
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/runners/direct/Registered: Mon Jul 07 00:15:50 UTC 2025 - Last Modified: Sat Jul 05 23:42:07 UTC 2025 - 28.2K bytes - Viewed (0) -
Apache Flink Runner
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/runners/flink/Registered: Mon Jul 07 00:15:55 UTC 2025 - Last Modified: Sat Jul 05 23:42:07 UTC 2025 - 57.7K bytes - Viewed (0) -
Mean
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/mean/Registered: Mon Jul 07 00:16:30 UTC 2025 - Last Modified: Sat Jul 05 23:42:07 UTC 2025 - 41.2K bytes - Viewed (0) -
CoGroupByKey
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/cogroupbykey/Registered: Mon Jul 07 00:14:55 UTC 2025 - Last Modified: Sat Jul 05 23:42:07 UTC 2025 - 46K bytes - Viewed (0) -
HllCount
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/hllcount/Registered: Mon Jul 07 00:15:04 UTC 2025 - Last Modified: Sat Jul 05 23:42:07 UTC 2025 - 46.6K bytes - Viewed (0) -
WindowInto
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/windowinto/Registered: Mon Jul 07 00:12:46 UTC 2025 - Last Modified: Sat Jul 05 23:42:07 UTC 2025 - 40.1K bytes - Viewed (0)