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Results 51 - 60 of 209 for host:beam.apache.org (0.02 sec)

  1. Max

    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/max/
    Registered: Wed Jul 16 00:13:48 UTC 2025
    - Last Modified: Tue Jul 15 17:45:47 UTC 2025
    - 41.5K bytes
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  2. Apache Snowflake I/O connector

    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/built-in/snowflake/
    Registered: Wed Jul 16 00:08:18 UTC 2025
    - Last Modified: Tue Jul 15 17:45:47 UTC 2025
    - 101.7K bytes
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  3. MLTransform

    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/mltransform/
    Registered: Wed Jul 16 00:08:30 UTC 2025
    - Last Modified: Tue Jul 15 17:45:47 UTC 2025
    - 56.8K bytes
    - Viewed (0)
  4. SparkReceiver IO

    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/built-in/sparkreceiver/
    Registered: Wed Jul 16 00:07:41 UTC 2025
    - Last Modified: Tue Jul 15 17:45:47 UTC 2025
    - 49K bytes
    - Viewed (0)
  5. ApproximateQuantiles

    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/approximatequantiles/
    Registered: Wed Jul 16 00:07:56 UTC 2025
    - Last Modified: Tue Jul 15 17:45:47 UTC 2025
    - 39.9K bytes
    - Viewed (0)
  6. Python transform catalog 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/transforms/python/overview/
    Registered: Wed Jul 16 00:07:59 UTC 2025
    - Last Modified: Tue Jul 15 17:45:47 UTC 2025
    - 45.8K bytes
    - Viewed (0)
  7. Beam Java 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/java/
    Registered: Wed Jul 16 00:07:20 UTC 2025
    - Last Modified: Mon Jul 14 23:46:20 UTC 2025
    - 26.6K bytes
    - Viewed (0)
  8. Beam ZetaSQL data types

    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/data-types/
    Registered: Wed Jul 16 00:23:19 UTC 2025
    - Last Modified: Mon Jul 14 23:46:20 UTC 2025
    - 38.2K bytes
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  9. Beam Calcite SQL data types

    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/data-types/
    Registered: Wed Jul 16 00:23:22 UTC 2025
    - Last Modified: Mon Jul 14 23:46:20 UTC 2025
    - 26K bytes
    - Viewed (0)
  10. Beam ZetaSQL lexical structure

    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/lexical/
    Registered: Wed Jul 16 00:23:30 UTC 2025
    - Last Modified: Mon Jul 14 23:46:20 UTC 2025
    - 41.2K bytes
    - Viewed (0)
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