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app show - AWS Copilot CLI
Develop, Release and Operate Container Apps on AWS.aws.github.io/copilot-cli/en/docs/commands/app-show/Fri Mar 06 21:30:33 GMT 2026 7.6K bytes -
version - AWS Copilot CLI
Develop, Release and Operate Container Apps on AWS.aws.github.io/copilot-cli/en/docs/commands/version/Fri Mar 06 21:30:33 GMT 2026 7.4K bytes -
Prediction and inference 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/ml/inference-overview/Sun Apr 19 17:54:36 GMT 2026 9.3K bytes -
Apache Ant User Manual
Description Description Allows for a description of the project to be specified that will be included in the output o...ant.apache.org/manual/Types/description.htmlTue Oct 19 07:20:25 GMT 2021 782 bytes -
Sample
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/sample/Sun Apr 19 17:54:36 GMT 2026 9K bytes -
PropertySet Type
PropertySet Since Apache Ant 1.6 Groups a set of properties to be used by reference in a task that supports this. Att...ant.apache.org/manual/Types/propertyset.htmlTue Oct 19 07:20:25 GMT 2021 1.6K bytes -
CombineWithContext
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/combinewithcontext/Sun Apr 19 17:54:36 GMT 2026 8.6K bytes -
MultiRootFileSet Type
MultiRootFileSet Since Ant 1.9.4 A MultiRootFileSet is a group of files or directories. These files or directories ca...ant.apache.org/manual/Types/multirootfileset.htmlWed Apr 01 15:43:13 GMT 2026 2K bytes -
Filter
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/filter/Sun Apr 19 17:54:36 GMT 2026 9.5K bytes -
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/java/elementwise/keys/Sun Apr 19 17:54:36 GMT 2026 8.7K bytes