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Results 1 - 10 of 209 for host:beam.apache.org (0.05 sec)

  1. Container environments

    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/environments/
    Registered: Mon Jul 07 00:08:37 UTC 2025
    - Last Modified: Sat Jul 05 23:42:07 UTC 2025
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  2. ToString

    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/tostring/
    Registered: Mon Jul 07 00:08:13 UTC 2025
    - Last Modified: Sat Jul 05 23:42:07 UTC 2025
    - 42.7K bytes
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  3. FlatMap

    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/flatmap/
    Registered: Mon Jul 07 00:10:00 UTC 2025
    - Last Modified: Sat Jul 05 23:42:07 UTC 2025
    - 50.6K bytes
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  4. Filter

    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/filter/
    Registered: Mon Jul 07 00:10:56 UTC 2025
    - Last Modified: Sat Jul 05 23:42:07 UTC 2025
    - 44.4K bytes
    - Viewed (0)
  5. Keys

    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/keys/
    Registered: Mon Jul 07 00:11:00 UTC 2025
    - Last Modified: Sat Jul 05 23:42:07 UTC 2025
    - 40K bytes
    - Viewed (0)
  6. Map

    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/map/
    Registered: Mon Jul 07 00:10:44 UTC 2025
    - Last Modified: Sat Jul 05 23:42:07 UTC 2025
    - 48.8K bytes
    - Viewed (0)
  7. Sample

    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/sample/
    Registered: Mon Jul 07 00:11:43 UTC 2025
    - Last Modified: Sat Jul 05 23:42:07 UTC 2025
    - 41.7K bytes
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  8. Orchestration

    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/orchestration/
    Registered: Mon Jul 07 00:07:55 UTC 2025
    - Last Modified: Sat Jul 05 23:42:07 UTC 2025
    - 74.3K bytes
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  9. Design Your Pipeline

    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/pipelines/design-your-pipeline/
    Registered: Mon Jul 07 00:07:24 UTC 2025
    - Last Modified: Sat Jul 05 23:42:07 UTC 2025
    - 65K bytes
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  10. Enrichment

    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/
    Registered: Mon Jul 07 00:07:38 UTC 2025
    - Last Modified: Sat Jul 05 23:42:07 UTC 2025
    - 45.9K bytes
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