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Results 1 - 10 of 209 for host:beam.apache.org (0.06 sec)

  1. Apache Beam: Developing I/O connectors for Java

    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/developing-io-java/
    Registered: Mon May 26 00:05:37 UTC 2025
    - Last Modified: Sun May 25 23:43:24 UTC 2025
    - 60.5K bytes
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  2. 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 May 26 00:05:44 UTC 2025
    - Last Modified: Sun May 25 23:43:24 UTC 2025
    - 50.9K bytes
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  3. Prediction and inference overview

    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/inference-overview/
    Registered: Mon May 26 00:05:23 UTC 2025
    - Last Modified: Sun May 25 23:43:24 UTC 2025
    - 42.7K bytes
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  4. 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 May 26 00:05:26 UTC 2025
    - Last Modified: Sun May 25 23:43:24 UTC 2025
    - 65.3K bytes
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  5. 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 May 26 00:05:58 UTC 2025
    - Last Modified: Sun May 25 23:43:24 UTC 2025
    - 42K bytes
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  6. Latest

    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/latest/
    Registered: Mon May 26 00:10:51 UTC 2025
    - Last Modified: Sun May 25 23:43:24 UTC 2025
    - 42.2K bytes
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  7. Apache Beam Python SDK

    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/
    Registered: Mon May 26 00:10:40 UTC 2025
    - Last Modified: Mon May 12 19:59:28 UTC 2025
    - 29.7K bytes
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  8. Flatten

    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/other/flatten/
    Registered: Mon May 26 00:11:28 UTC 2025
    - Last Modified: Sun May 25 23:43:24 UTC 2025
    - 41.5K bytes
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  9. 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 May 26 00:10:29 UTC 2025
    - Last Modified: Sun May 25 23:43:24 UTC 2025
    - 40.3K bytes
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  10. Twister2 Runner

    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/twister2/
    Registered: Mon May 26 00:11:58 UTC 2025
    - Last Modified: Sun May 25 23:43:24 UTC 2025
    - 24K bytes
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