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Results 101 - 110 of 207 for host:beam.apache.org (0.05 sec)

  2. Beam SQL extensions: User-defined 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/extensions/user-defined-functions/
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    Registered: Wed Apr 09 00:17:47 UTC 2025
    - Last Modified: Fri Apr 04 23:41:49 UTC 2025
    - 37.2K bytes
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  3. Beam ZetaSQL aggregate 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/aggregate-functions/
    more..
    Registered: Wed Apr 09 00:17:58 UTC 2025
    - Last Modified: Fri Apr 04 23:41:49 UTC 2025
    - 28.6K bytes
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  4. Beam ZetaSQL operators

    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/operators/
    more..
    Registered: Wed Apr 09 00:18:11 UTC 2025
    - Last Modified: Fri Apr 04 23:41:49 UTC 2025
    - 37.1K bytes
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  5. 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 Apr 09 00:17:17 UTC 2025
    - Last Modified: Fri Apr 04 23:41:49 UTC 2025
    - 30.5K bytes
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  6. Managing Python Pipeline Dependencies

    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-pipeline-dependencies/
    more..
    Registered: Wed Apr 09 00:13:43 UTC 2025
    - Last Modified: Fri Apr 04 23:41:49 UTC 2025
    - 46.7K bytes
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  7. Beam DataFrames: 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/dataframes/overview/
    more..
    Registered: Wed Apr 09 00:13:46 UTC 2025
    - Last Modified: Fri Apr 04 23:41:49 UTC 2025
    - 34.6K bytes
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  8. 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 Apr 09 00:04:19 UTC 2025
    - Last Modified: Tue Apr 08 17:43:06 UTC 2025
    - 112.3K 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 Apr 09 00:04:22 UTC 2025
    - Last Modified: Tue Apr 08 17:43:06 UTC 2025
    - 73K bytes
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  10. Testing I/O Transforms

    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/testing/
    more..
    Registered: Wed Apr 09 00:04:36 UTC 2025
    - Last Modified: Tue Apr 08 17:43:06 UTC 2025
    - 64.4K bytes
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  11. 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 Apr 09 00:04:40 UTC 2025
    - Last Modified: Tue Apr 08 17:43:06 UTC 2025
    - 94K bytes
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