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Results 71 - 80 of 213 for host:beam.apache.org (0.02 sec)

  2. Apache Beam

    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/python-sdk-image-build/
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    Registered: Fri Oct 24 00:24:25 UTC 2025
    - Last Modified: Thu Oct 23 17:42:13 UTC 2025
    - 56.8K bytes
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  3. Java multi-language pipelines quickstart

    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-multi-language-pipelines/
    more..
    Registered: Fri Oct 24 00:24:33 UTC 2025
    - Last Modified: Mon Sep 22 23:40:02 UTC 2025
    - 41.8K bytes
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  4. 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/
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    Registered: Fri Oct 24 00:25:15 UTC 2025
    - Last Modified: Mon Sep 22 23:40:02 UTC 2025
    - 33.1K bytes
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  5. 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/
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    Registered: Fri Oct 24 00:32:56 UTC 2025
    - Last Modified: Thu Oct 23 17:42:13 UTC 2025
    - 46.2K bytes
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  6. Per Entity Training

    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/per-entity-training/
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    Registered: Fri Oct 24 00:33:12 UTC 2025
    - Last Modified: Thu Oct 23 17:42:13 UTC 2025
    - 43.4K bytes
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  7. TensorRT RunInference

    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/tensorrt-runinference/
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    Registered: Fri Oct 24 00:32:44 UTC 2025
    - Last Modified: Thu Oct 23 17:42:13 UTC 2025
    - 47.4K bytes
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  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/
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    Registered: Fri Oct 24 00:05:32 UTC 2025
    - Last Modified: Thu Oct 23 17:42:13 UTC 2025
    - 50.5K bytes
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  9. Apache Hadoop Input/Output Format IO

    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/hadoop/
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    Registered: Fri Oct 24 00:04:23 UTC 2025
    - Last Modified: Thu Oct 23 17:42:13 UTC 2025
    - 106.8K bytes
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  10. Apache HCatalog 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/hcatalog/
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    Registered: Fri Oct 24 00:04:55 UTC 2025
    - Last Modified: Thu Oct 23 17:42:13 UTC 2025
    - 49.5K bytes
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  11. 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: Fri Oct 24 00:06:26 UTC 2025
    - Last Modified: Thu Oct 23 17:42:13 UTC 2025
    - 41.8K bytes
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