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Results 151 - 160 of 206 for host:beam.apache.org (0.02 sec)

  2. What is being computed?

    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/what-is-being-computed/
    more..
    Registered: Wed Feb 12 00:16:01 UTC 2025
    - Last Modified: Tue Feb 11 17:40:18 UTC 2025
    - 30.1K bytes
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  3. Beam Calcite SQL 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/dsls/sql/calcite/overview/
    more..
    Registered: Wed Feb 12 00:13:21 UTC 2025
    - Last Modified: Mon Jan 27 17:38:50 UTC 2025
    - 30.3K bytes
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  4. 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: Wed Feb 12 00:03:36 UTC 2025
    - Last Modified: Tue Feb 11 17:40:18 UTC 2025
    - 112.3K bytes
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  5. ML Model Evaluation

    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/model-evaluation/
    more..
    Registered: Wed Feb 12 00:04:26 UTC 2025
    - Last Modified: Tue Feb 11 17:40:18 UTC 2025
    - 46.2K bytes
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  6. Test 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/test-your-pipeline/
    more..
    Registered: Wed Feb 12 00:04:30 UTC 2025
    - Last Modified: Tue Feb 11 17:40:18 UTC 2025
    - 94K bytes
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  7. 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: Wed Feb 12 00:04:58 UTC 2025
    - Last Modified: Tue Feb 11 17:40:18 UTC 2025
    - 44.4K bytes
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  8. AI Platform integration 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/ai-platform/
    more..
    Registered: Wed Feb 12 00:05:15 UTC 2025
    - Last Modified: Tue Feb 11 17:40:18 UTC 2025
    - 87.8K bytes
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  9. Side input 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/side-inputs/
    more..
    Registered: Wed Feb 12 00:05:47 UTC 2025
    - Last Modified: Tue Feb 11 17:40:18 UTC 2025
    - 73K bytes
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  10. 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/python/elementwise/filter/
    more..
    Registered: Wed Feb 12 00:06:31 UTC 2025
    - Last Modified: Tue Feb 11 17:40:18 UTC 2025
    - 46.2K bytes
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  11. Enrichment with Bigtable

    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-bigtable/
    more..
    Registered: Wed Feb 12 00:06:46 UTC 2025
    - Last Modified: Tue Feb 11 17:40:18 UTC 2025
    - 47.1K bytes
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