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Results 21 - 30 of 203 for timestamp:[now/d-1M TO *] (0.03 sec)

  1. Pattern for grouping elements for efficient ext...

    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/grouping-elements-for-efficient-external-service-calls/
    Registered: Mon Oct 28 00:07:35 UTC 2024
    - Last Modified: Fri Oct 25 23:40:07 UTC 2024
    - 42.9K bytes
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  2. 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: Mon Oct 28 00:07:07 UTC 2024
    - Last Modified: Fri Oct 25 23:40:07 UTC 2024
    - 49.2K bytes
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  3. Apache Beam Capability Matrix

    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/
    Registered: Mon Oct 28 00:05:48 UTC 2024
    - Last Modified: Fri Oct 25 23:40:07 UTC 2024
    - 57.3K bytes
    - Viewed (0)
  4. ParDo

    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/pardo/
    Registered: Mon Oct 28 00:09:44 UTC 2024
    - Last Modified: Fri Oct 25 23:40:07 UTC 2024
    - 47.8K bytes
    - Viewed (0)
  5. CoGroupByKey

    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/aggregation/cogroupbykey/
    Registered: Mon Oct 28 00:10:02 UTC 2024
    - Last Modified: Fri Oct 25 23:40:07 UTC 2024
    - 45.9K bytes
    - Viewed (0)
  6. 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: Mon Oct 28 00:11:30 UTC 2024
    - Last Modified: Fri Oct 25 23:40:07 UTC 2024
    - 41.7K bytes
    - Viewed (0)
  7. Partition

    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/elementwise/partition/
    Registered: Mon Oct 28 00:14:08 UTC 2024
    - Last Modified: Fri Oct 25 23:40:07 UTC 2024
    - 40.6K bytes
    - Viewed (0)
  8. Direct Runner

    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/direct/
    Registered: Mon Oct 28 00:14:18 UTC 2024
    - Last Modified: Fri Oct 25 23:40:07 UTC 2024
    - 28.3K bytes
    - Viewed (0)
  9. Apache Flink Runner

    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/flink/
    Registered: Mon Oct 28 00:14:22 UTC 2024
    - Last Modified: Fri Oct 25 23:40:07 UTC 2024
    - 56.5K bytes
    - Viewed (0)
  10. 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/java/aggregation/max/
    Registered: Mon Oct 28 00:15:14 UTC 2024
    - Last Modified: Fri Oct 25 23:40:07 UTC 2024
    - 42.9K bytes
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