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Results 61 - 70 of 209 for host:beam.apache.org (0.02 sec)
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Nexmark benchmark suite
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/testing/nexmark/Registered: Wed Jul 16 00:21:56 UTC 2025 - Last Modified: Mon Jul 14 23:46:20 UTC 2025 - 44.9K bytes - Viewed (0) -
Apache Beam YAML Testing
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-testing/Registered: Wed Jul 16 00:22:15 UTC 2025 - Last Modified: Mon Jul 14 23:46:20 UTC 2025 - 32.7K bytes - Viewed (0) -
Differences from pandas
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/differences-from-pandas/Registered: Wed Jul 16 00:22:57 UTC 2025 - Last Modified: Mon Jul 14 23:46:20 UTC 2025 - 35.8K bytes - Viewed (0) -
Apache Beam YAML Inline Python
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-inline-python/Registered: Wed Jul 16 00:23:52 UTC 2025 - Last Modified: Mon Jul 14 23:46:20 UTC 2025 - 29.6K bytes - Viewed (0) -
Apache Beam YAML UDFs
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-udf/Registered: Wed Jul 16 00:19:28 UTC 2025 - Last Modified: Mon Jul 14 23:46:20 UTC 2025 - 39.9K bytes - Viewed (0) -
TPC-DS benchmark suite
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/testing/tpcds/Registered: Wed Jul 16 00:20:47 UTC 2025 - Last Modified: Mon Jul 14 23:46:20 UTC 2025 - 35.8K 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 Jul 16 00:20:35 UTC 2025 - Last Modified: Mon Jul 14 23:46:20 UTC 2025 - 40.3K bytes - Viewed (0) -
Beam SQL extensions: SET and RESET Statement
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/set/Registered: Wed Jul 16 00:21:23 UTC 2025 - Last Modified: Mon Jul 14 23:46:20 UTC 2025 - 25.9K bytes - Viewed (0) -
How do refinements relate?
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/how-do-refinements-relate/Registered: Wed Jul 16 00:27:29 UTC 2025 - Last Modified: Tue Jul 15 17:45:47 UTC 2025 - 19.6K 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 Jul 16 00:08:48 UTC 2025 - Last Modified: Tue Jul 15 17:45:47 UTC 2025 - 72.3K bytes - Viewed (0)