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Results 61 - 70 of 207 for host:beam.apache.org (0.04 sec)

  2. Partition

    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/partition/
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    Registered: Wed Apr 09 00:09:24 UTC 2025
    - Last Modified: Tue Apr 08 17:43:06 UTC 2025
    - 40.3K bytes
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  3. WindowInto

    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/other/windowinto/
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    Registered: Wed Apr 09 00:09:32 UTC 2025
    - Last Modified: Tue Apr 08 17:43:06 UTC 2025
    - 39.7K bytes
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  4. Create

    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/other/create/
    more..
    Registered: Wed Apr 09 00:08:46 UTC 2025
    - Last Modified: Tue Apr 08 17:43:06 UTC 2025
    - 39.5K bytes
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  5. Differences from pandas

    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/dataframes/differences-from-pandas/
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    Registered: Wed Apr 09 00:17:23 UTC 2025
    - Last Modified: Fri Apr 04 23:41:49 UTC 2025
    - 35.6K bytes
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  6. Beam ZetaSQL string 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/zetasql/string-functions/
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    Registered: Wed Apr 09 00:17:30 UTC 2025
    - Last Modified: Fri Apr 04 23:41:49 UTC 2025
    - 40.1K bytes
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  7. Beam SQL extensions: SET and RESET Statement

    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/set/
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    Registered: Wed Apr 09 00:17:51 UTC 2025
    - Last Modified: Fri Apr 04 23:41:49 UTC 2025
    - 25.7K bytes
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  8. MLTransform

    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/mltransform/
    more..
    Registered: Wed Apr 09 00:07:21 UTC 2025
    - Last Modified: Tue Apr 08 17:43:06 UTC 2025
    - 56.8K bytes
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  9. RunInference with PyTorch

    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/runinference-pytorch/
    more..
    Registered: Wed Apr 09 00:07:27 UTC 2025
    - Last Modified: Tue Apr 08 17:43:06 UTC 2025
    - 52.3K bytes
    - Viewed (0)

  10. ApproximateQuantiles

    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/approximatequantiles/
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    Registered: Wed Apr 09 00:07:31 UTC 2025
    - Last Modified: Tue Apr 08 17:43:06 UTC 2025
    - 39.9K bytes
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  11. 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/transforms/python/elementwise/runinference/
    more..
    Registered: Wed Apr 09 00:07:42 UTC 2025
    - Last Modified: Tue Apr 08 17:43:06 UTC 2025
    - 40.9K bytes
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