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Results 41 - 50 of 211 for host:beam.apache.org (0.03 sec)
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Mean
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/mean/Registered: Wed Sep 03 00:11:51 UTC 2025 - Last Modified: Tue Sep 02 17:41:59 UTC 2025 - 41.1K bytes - Viewed (0) -
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 Sep 03 00:10:51 UTC 2025 - Last Modified: Tue Sep 02 17:41:59 UTC 2025 - 41.6K bytes - Viewed (0) -
About Beam ML
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/ml/about-ml/Registered: Wed Sep 03 00:06:16 UTC 2025 - Last Modified: Tue Sep 02 17:41:59 UTC 2025 - 72.4K bytes - Viewed (0) -
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 Sep 03 00:05:53 UTC 2025 - Last Modified: Tue Sep 02 17:41:59 UTC 2025 - 49.1K bytes - Viewed (0) -
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: Wed Sep 03 00:05:39 UTC 2025 - Last Modified: Tue Sep 02 17:41:59 UTC 2025 - 57K bytes - Viewed (0) -
Regex
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/regex/Registered: Wed Sep 03 00:02:54 UTC 2025 - Last Modified: Tue Sep 02 17:41:59 UTC 2025 - 52.4K bytes - Viewed (0) -
BigQuery 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/bigqueryio/Registered: Wed Sep 03 00:03:23 UTC 2025 - Last Modified: Tue Sep 02 17:41:59 UTC 2025 - 54.3K bytes - Viewed (0) -
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: Wed Sep 03 00:04:12 UTC 2025 - Last Modified: Tue Sep 02 17:41:59 UTC 2025 - 42.9K bytes - Viewed (0) -
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 Sep 03 00:20:03 UTC 2025 - Last Modified: Tue Aug 12 17:45:21 UTC 2025 - 26K bytes - Viewed (0) -
Beam ZetaSQL string 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/string-functions/Registered: Wed Sep 03 00:20:35 UTC 2025 - Last Modified: Tue Aug 12 17:45:21 UTC 2025 - 40.3K bytes - Viewed (0)