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Results 41 - 50 of 211 for host:beam.apache.org (0.03 sec)

  1. Mean

    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/aggregation/mean/
    Registered: Wed Sep 03 00:11:51 UTC 2025
    - Last Modified: Tue Sep 02 17:41:59 UTC 2025
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  2. Max

    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/max/
    Registered: Wed Sep 03 00:10:51 UTC 2025
    - Last Modified: Tue Sep 02 17:41:59 UTC 2025
    - 41.6K bytes
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  3. About Beam ML

    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/about-ml/
    Registered: Wed Sep 03 00:06:16 UTC 2025
    - Last Modified: Tue Sep 02 17:41:59 UTC 2025
    - 72.4K bytes
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  4. SparkReceiver 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/sparkreceiver/
    Registered: Wed Sep 03 00:05:53 UTC 2025
    - Last Modified: Tue Sep 02 17:41:59 UTC 2025
    - 49.1K bytes
    - Viewed (0)
  5. Apache Beam Capability Matrix

    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/
    Registered: Wed Sep 03 00:05:39 UTC 2025
    - Last Modified: Tue Sep 02 17:41:59 UTC 2025
    - 57K bytes
    - Viewed (0)
  6. Regex

    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/regex/
    Registered: Wed Sep 03 00:02:54 UTC 2025
    - Last Modified: Tue Sep 02 17:41:59 UTC 2025
    - 52.4K bytes
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  7. BigQuery 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/bigqueryio/
    Registered: Wed Sep 03 00:03:23 UTC 2025
    - Last Modified: Tue Sep 02 17:41:59 UTC 2025
    - 54.3K bytes
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  8. Pattern for grouping elements for efficient ext...

    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/grouping-elements-for-efficient-external-service-calls/
    Registered: Wed Sep 03 00:04:12 UTC 2025
    - Last Modified: Tue Sep 02 17:41:59 UTC 2025
    - 42.9K bytes
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  9. Beam Calcite SQL data types

    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/data-types/
    Registered: Wed Sep 03 00:20:03 UTC 2025
    - Last Modified: Tue Aug 12 17:45:21 UTC 2025
    - 26K bytes
    - Viewed (0)
  10. 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/
    Registered: Wed Sep 03 00:20:35 UTC 2025
    - Last Modified: Tue Aug 12 17:45:21 UTC 2025
    - 40.3K bytes
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