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Results 141 - 150 of 208 for host:beam.apache.org (0.02 sec)

  2. Enrichment with Vertex AI Feature Store

    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/enrichment-vertexai/
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    Registered: Wed Apr 16 00:05:20 UTC 2025
    - Last Modified: Tue Apr 15 23:39:24 UTC 2025
    - 55.8K bytes
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  3. CoGroupByKey

    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/cogroupbykey/
    more..
    Registered: Wed Apr 16 00:04:39 UTC 2025
    - Last Modified: Tue Apr 15 23:39:24 UTC 2025
    - 46K bytes
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  4. GroupBy

    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/groupby/
    more..
    Registered: Wed Apr 16 00:05:41 UTC 2025
    - Last Modified: Tue Apr 15 23:39:24 UTC 2025
    - 45.2K bytes
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  5. Beam Calcite SQL query syntax

    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/query-syntax/
    more..
    Registered: Wed Apr 16 00:15:19 UTC 2025
    - Last Modified: Thu Apr 10 17:40:49 UTC 2025
    - 52.6K bytes
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  6. 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 16 00:15:27 UTC 2025
    - Last Modified: Thu Apr 10 17:40:49 UTC 2025
    - 59.3K bytes
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  7. 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/
    more..
    Registered: Wed Apr 16 00:15:02 UTC 2025
    - Last Modified: Tue Apr 15 23:39:24 UTC 2025
    - 57K bytes
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  8. 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: Wed Apr 16 00:15:43 UTC 2025
    - Last Modified: Thu Apr 10 17:40:49 UTC 2025
    - 29.3K bytes
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  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: Wed Apr 16 00:20:59 UTC 2025
    - Last Modified: Tue Apr 15 23:39:24 UTC 2025
    - 46.4K bytes
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  10. 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: Wed Apr 16 00:21:17 UTC 2025
    - Last Modified: Tue Apr 15 23:39:24 UTC 2025
    - 43.6K bytes
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  11. Ensuring Python Type Safety

    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-type-safety/
    more..
    Registered: Wed Apr 16 00:13:32 UTC 2025
    - Last Modified: Thu Apr 10 17:40:49 UTC 2025
    - 64.2K bytes
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