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Results 131 - 140 of 213 for host:beam.apache.org (0.03 sec)
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Latest
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/aggregation/latest/Registered: Fri Oct 24 00:10:21 UTC 2025 - Last Modified: Thu Oct 23 17:42:13 UTC 2025 - 41.7K bytes - Viewed (0) -
Count
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/aggregation/count/Registered: Fri Oct 24 00:10:01 UTC 2025 - Last Modified: Thu Oct 23 17:42:13 UTC 2025 - 42.3K bytes - Viewed (0) -
GroupIntoBatches
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/aggregation/groupintobatches/Registered: Fri Oct 24 00:09:34 UTC 2025 - Last Modified: Thu Oct 23 17:42:13 UTC 2025 - 40.7K bytes - Viewed (0) -
Beam SQL extensions: User-defined functions
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/dsls/sql/extensions/user-defined-functions/Registered: Fri Oct 24 00:25:18 UTC 2025 - Last Modified: Mon Sep 22 23:40:02 UTC 2025 - 52.6K bytes - Viewed (0) -
IO Standards
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/io/io-standards/Registered: Fri Oct 24 00:05:59 UTC 2025 - Last Modified: Thu Oct 23 17:42:13 UTC 2025 - 112.7K bytes - Viewed (0) -
Custom window patterns
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/custom-windows/Registered: Fri Oct 24 00:06:12 UTC 2025 - Last Modified: Thu Oct 23 17:42:13 UTC 2025 - 52.7K bytes - Viewed (0) -
AI Platform integration patterns
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/ai-platform/Registered: Fri Oct 24 00:06:15 UTC 2025 - Last Modified: Thu Oct 23 17:42:13 UTC 2025 - 88.2K bytes - Viewed (0) -
Web Apis I/O connector
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/io/built-in/webapis/Registered: Fri Oct 24 00:06:31 UTC 2025 - Last Modified: Thu Oct 23 17:42:13 UTC 2025 - 202K bytes - Viewed (0) -
ML Model Evaluation
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/model-evaluation/Registered: Fri Oct 24 00:06:38 UTC 2025 - Last Modified: Thu Oct 23 17:42:13 UTC 2025 - 46.6K bytes - Viewed (0) -
Window
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/other/window/Registered: Fri Oct 24 00:14:00 UTC 2025 - Last Modified: Thu Oct 23 17:42:13 UTC 2025 - 40K bytes - Viewed (0)