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Results 111 - 120 of 204 for host:beam.apache.org (0.03 sec)

  2. 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/
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    Registered: Mon Dec 16 00:03:32 UTC 2024
    - Last Modified: Fri Dec 13 17:42:04 UTC 2024
    - 50.5K bytes
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  3. Large Language Model Inference in 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/ml/large-language-modeling/
    more..
    Registered: Mon Dec 16 00:18:21 UTC 2024
    - Last Modified: Fri Dec 13 17:42:04 UTC 2024
    - 52.5K bytes
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  4. Where in event time?

    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/capability-matrix/where-in-event-time/
    more..
    Registered: Mon Dec 16 00:18:42 UTC 2024
    - Last Modified: Fri Dec 13 17:42:04 UTC 2024
    - 23.6K bytes
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  5. When in processing time?

    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/capability-matrix/when-in-processing-time/
    more..
    Registered: Mon Dec 16 00:18:53 UTC 2024
    - Last Modified: Fri Dec 13 17:42:04 UTC 2024
    - 25.3K bytes
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  6. 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 Dec 16 00:20:22 UTC 2024
    - Last Modified: Fri Dec 13 17:42:04 UTC 2024
    - 46.1K 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/
    more..
    Registered: Mon Dec 16 00:20:29 UTC 2024
    - Last Modified: Fri Dec 13 17:42:04 UTC 2024
    - 47.3K bytes
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  8. 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/
    more..
    Registered: Mon Dec 16 00:19:49 UTC 2024
    - Last Modified: Fri Dec 13 17:42:04 UTC 2024
    - 43.3K bytes
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  9. Data exploration

    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/data-processing/
    more..
    Registered: Mon Dec 16 00:03:39 UTC 2024
    - Last Modified: Fri Dec 13 17:42:04 UTC 2024
    - 44.7K bytes
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  10. IO Standards

    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/io-standards/
    more..
    Registered: Mon Dec 16 00:03:44 UTC 2024
    - Last Modified: Fri Dec 13 17:42:04 UTC 2024
    - 112.6K bytes
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  11. Beam Programming 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/programming-guide/
    more..
    Registered: Mon Dec 16 00:03:52 UTC 2024
    - Last Modified: Fri Dec 13 17:42:04 UTC 2024
    - 1.3M bytes
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