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Results 141 - 150 of 207 for host:beam.apache.org (0.01 sec)

  2. 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/
    more..
    Registered: Wed Apr 09 00:21:31 UTC 2025
    - Last Modified: Tue Apr 08 17:43:06 UTC 2025
    - 47K bytes
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  3. Overview: Developing a new 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/developing-io-overview/
    more..
    Registered: Wed Apr 09 00:04:33 UTC 2025
    - Last Modified: Tue Apr 08 17:43:06 UTC 2025
    - 49.2K bytes
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  4. 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/
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    Registered: Wed Apr 09 00:04:59 UTC 2025
    - Last Modified: Tue Apr 08 17:43:06 UTC 2025
    - 40.4K bytes
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  5. 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: Wed Apr 09 00:05:46 UTC 2025
    - Last Modified: Tue Apr 08 17:43:06 UTC 2025
    - 38.9K bytes
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  6. 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: Wed Apr 09 00:16:20 UTC 2025
    - Last Modified: Fri Apr 04 23:41:49 UTC 2025
    - 32.8K bytes
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  7. Python custom multi-language pipelines guide

    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-custom-multi-language-pipelines-guide/
    more..
    Registered: Wed Apr 09 00:16:27 UTC 2025
    - Last Modified: Fri Apr 04 23:41:49 UTC 2025
    - 58.4K bytes
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  8. Python SDK dependencies

    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-dependencies/
    more..
    Registered: Wed Apr 09 00:16:34 UTC 2025
    - Last Modified: Fri Apr 04 23:41:49 UTC 2025
    - 26.6K bytes
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  9. 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/
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    Registered: Wed Apr 09 00:16:55 UTC 2025
    - Last Modified: Fri Apr 04 23:41:49 UTC 2025
    - 28.4K bytes
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  10. 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: Wed Apr 09 00:16:58 UTC 2025
    - Last Modified: Fri Apr 04 23:41:49 UTC 2025
    - 41.6K 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: Wed Apr 09 00:07:35 UTC 2025
    - Last Modified: Tue Apr 08 17:43:06 UTC 2025
    - 41.4K bytes
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