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Results 21 - 30 of 209 for host:beam.apache.org (0.05 sec)

  2. Twister2 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/twister2/
    more..
    Registered: Wed Jul 16 00:11:20 UTC 2025
    - Last Modified: Tue Jul 15 17:45:47 UTC 2025
    - 23.4K bytes
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  3. 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/java/other/flatten/
    more..
    Registered: Wed Jul 16 00:12:37 UTC 2025
    - Last Modified: Tue Jul 15 17:45:47 UTC 2025
    - 40.9K bytes
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  4. Apache Nemo 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/nemo/
    more..
    Registered: Wed Jul 16 00:27:39 UTC 2025
    - Last Modified: Tue Jul 15 17:45:47 UTC 2025
    - 25.1K bytes
    - Viewed (0)

  5. Design Your Pipeline

    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/pipelines/design-your-pipeline/
    more..
    Registered: Wed Jul 16 00:03:25 UTC 2025
    - Last Modified: Tue Jul 15 17:45:47 UTC 2025
    - 64.7K bytes
    - Viewed (0)

  6. Apache Beam: Developing I/O connectors for Java

    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/developing-io-java/
    more..
    Registered: Wed Jul 16 00:03:31 UTC 2025
    - Last Modified: Tue Jul 15 17:45:47 UTC 2025
    - 60K bytes
    - Viewed (0)

  7. Prediction and inference 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/ml/inference-overview/
    more..
    Registered: Wed Jul 16 00:03:57 UTC 2025
    - Last Modified: Tue Jul 15 17:45:47 UTC 2025
    - 42.1K bytes
    - Viewed (0)

  8. FlatMap

    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/flatmap/
    more..
    Registered: Wed Jul 16 00:04:17 UTC 2025
    - Last Modified: Tue Jul 15 17:45:47 UTC 2025
    - 50.4K bytes
    - Viewed (0)

  9. Beam Java SDK Extensions

    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/sdks/java-extensions/
    more..
    Registered: Wed Jul 16 00:19:52 UTC 2025
    - Last Modified: Mon Jul 14 23:46:20 UTC 2025
    - 28.1K bytes
    - Viewed (0)

  10. Managed I/O Connectors

    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/managed-io/
    more..
    Registered: Wed Jul 16 00:06:03 UTC 2025
    - Last Modified: Tue Jul 15 17:45:47 UTC 2025
    - 58.1K bytes
    - Viewed (0)

  11. Container environments

    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/runtime/environments/
    more..
    Registered: Wed Jul 16 00:06:19 UTC 2025
    - Last Modified: Tue Jul 15 17:45:47 UTC 2025
    - 59.5K bytes
    - Viewed (0)
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