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Results 171 - 180 of 204 for host:beam.apache.org (0.03 sec)

  2. Apache Beam Typescript 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/typescript/
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    Registered: Fri Nov 15 00:16:58 UTC 2024
    - Last Modified: Tue Nov 12 05:40:09 UTC 2024
    - 32.6K bytes
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  3. Beam ZetaSQL conditional expressions

    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/conditional-expressions/
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    Registered: Fri Nov 15 00:15:41 UTC 2024
    - Last Modified: Tue Nov 12 05:40:09 UTC 2024
    - 28K bytes
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  4. Apache Beam Scala 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/scala/
    more..
    Registered: Fri Nov 15 00:15:53 UTC 2024
    - Last Modified: Tue Nov 12 05:40:09 UTC 2024
    - 24.7K bytes
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  5. Unbounded Splittable DoFn Support Status

    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/unbounded-splittable-dofn-support-status/
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    Registered: Fri Nov 15 00:14:45 UTC 2024
    - Last Modified: Thu Nov 14 17:43:58 UTC 2024
    - 22.6K bytes
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  6. Beam 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/overview/
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    Registered: Fri Nov 15 00:14:21 UTC 2024
    - Last Modified: Tue Nov 12 05:40:09 UTC 2024
    - 28.2K bytes
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  7. Additional common features not yet part of the ...

    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/additional-common-features-not-yet-part-o...
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    Registered: Fri Nov 15 00:14:27 UTC 2024
    - Last Modified: Thu Nov 14 17:43:58 UTC 2024
    - 21.5K bytes
    - Viewed (0)

  8. PAssert

    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/passert/
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    Registered: Fri Nov 15 00:13:49 UTC 2024
    - Last Modified: Thu Nov 14 17:43:58 UTC 2024
    - 42.7K bytes
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  9. Bounded Splittable DoFn Support Status

    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/bounded-splittable-dofn-support-status/
    more..
    Registered: Fri Nov 15 00:14:41 UTC 2024
    - Last Modified: Thu Nov 14 17:43:58 UTC 2024
    - 22.9K bytes
    - Viewed (0)

  10. ApproximateUnique

    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/approximateunique/
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    Registered: Fri Nov 15 00:08:49 UTC 2024
    - Last Modified: Thu Nov 14 17:43:58 UTC 2024
    - 40.1K bytes
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  11. WithTimestamps

    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/withtimestamps/
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    Registered: Fri Nov 15 00:09:35 UTC 2024
    - Last Modified: Thu Nov 14 17:43:58 UTC 2024
    - 44K bytes
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