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Results 81 - 90 of 206 for host:beam.apache.org (0.02 sec)

  2. FlatMapElements

    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/elementwise/flatmapelements/
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    Registered: Mon Mar 31 00:09:12 UTC 2025
    - Last Modified: Fri Mar 28 17:40:59 UTC 2025
    - 39.8K bytes
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  3. Reify

    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/reify/
    more..
    Registered: Mon Mar 31 00:09:35 UTC 2025
    - Last Modified: Fri Mar 28 17:40:59 UTC 2025
    - 38.9K bytes
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  4. Auto Update ML models using WatchFilePattern

    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/side-input-updates/
    more..
    Registered: Mon Mar 31 00:04:52 UTC 2025
    - Last Modified: Fri Mar 28 17:40:59 UTC 2025
    - 56.5K bytes
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  5. Custom I/O 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-io/
    more..
    Registered: Mon Mar 31 00:04:55 UTC 2025
    - Last Modified: Fri Mar 28 17:40:59 UTC 2025
    - 40.4K bytes
    - Viewed (0)

  6. SDK Harness Configuration

    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/sdk-harness-config/
    more..
    Registered: Mon Mar 31 00:05:02 UTC 2025
    - Last Modified: Fri Mar 28 17:40:59 UTC 2025
    - 41.4K bytes
    - Viewed (0)

  7. BigQuery ML integration

    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/bqml/
    more..
    Registered: Mon Mar 31 00:05:18 UTC 2025
    - Last Modified: Fri Mar 28 17:40:59 UTC 2025
    - 50.2K bytes
    - Viewed (0)

  8. Preprocess data

    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/preprocess-data/
    more..
    Registered: Mon Mar 31 00:04:39 UTC 2025
    - Last Modified: Fri Mar 28 17:40:59 UTC 2025
    - 50.1K bytes
    - Viewed (0)

  9. Pattern for dynamically grouping elements

    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/batch-elements/
    more..
    Registered: Mon Mar 31 00:14:23 UTC 2025
    - Last Modified: Fri Mar 28 17:40:59 UTC 2025
    - 45.8K bytes
    - Viewed (0)

  10. Beam 3rd Party Java 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-thirdparty/
    more..
    Registered: Mon Mar 31 00:15:42 UTC 2025
    - Last Modified: Tue Feb 18 17:41:16 UTC 2025
    - 28.3K bytes
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  11. Beam Calcite SQL scalar 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/calcite/scalar-functions/
    more..
    Registered: Mon Mar 31 00:14:37 UTC 2025
    - Last Modified: Tue Feb 18 17:41:16 UTC 2025
    - 32.7K bytes
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