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Popular Words: ใƒ†ใ‚นใƒˆ test [xss] %27

Results 161 - 170 of 204 for host:beam.apache.org (0.08 sec)

  2. 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/python/elementwise/keys/
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    Registered: Fri Nov 15 00:05:25 UTC 2024
    - Last Modified: Thu Nov 14 17:43:58 UTC 2024
    - 40.5K bytes
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  3. KvSwap

    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/kvswap/
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    Registered: Fri Nov 15 00:05:29 UTC 2024
    - Last Modified: Thu Nov 14 17:43:58 UTC 2024
    - 40.5K bytes
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  4. Beam SQL extension: CREATE EXTERNAL TABLE State...

    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/create-external-table/
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    Registered: Fri Nov 15 00:18:21 UTC 2024
    - Last Modified: Tue Nov 12 05:40:09 UTC 2024
    - 52.2K bytes
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  5. Beam ZetaSQL query syntax

    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/query-syntax/
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    Registered: Fri Nov 15 00:18:32 UTC 2024
    - Last Modified: Tue Nov 12 05:40:09 UTC 2024
    - 61K bytes
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  6. Apache Beam YAML API

    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/yaml/
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    Registered: Fri Nov 15 00:17:48 UTC 2024
    - Last Modified: Tue Nov 12 05:40:09 UTC 2024
    - 45.9K bytes
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  7. Apache Beam Python Streaming Pipelines

    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-streaming/
    more..
    Registered: Fri Nov 15 00:17:30 UTC 2024
    - Last Modified: Tue Nov 12 05:40:09 UTC 2024
    - 31.9K bytes
    - Viewed (0)

  8. Beam ZetaSQL conversion rules

    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/conversion-rules/
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    Registered: Fri Nov 15 00:17:33 UTC 2024
    - Last Modified: Tue Nov 12 05:40:09 UTC 2024
    - 28.1K bytes
    - Viewed (0)

  9. Resource hints

    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/resource-hints/
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    Registered: Fri Nov 15 00:03:40 UTC 2024
    - Last Modified: Thu Nov 14 17:43:58 UTC 2024
    - 47.5K bytes
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  10. Beam Calcite SQL 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/calcite/aggregate-functions/
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    Registered: Fri Nov 15 00:15:20 UTC 2024
    - Last Modified: Tue Nov 12 05:40:09 UTC 2024
    - 25K bytes
    - Viewed (0)

  11. Beam ZetaSQL mathematical 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/math-functions/
    more..
    Registered: Fri Nov 15 00:15:38 UTC 2024
    - Last Modified: Tue Nov 12 05:40:09 UTC 2024
    - 26.6K bytes
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