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Results 41 - 50 of 141 for host:beam.apache.org (0.01 sec)
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Multi-model pipelines
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/multi-model-pipelines/Registered: Fri May 17 00:06:41 UTC 2024 - Last Modified: Thu May 16 23:37:39 UTC 2024 - 47.1K bytes - Viewed (0) -
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: Fri May 17 00:06:34 UTC 2024 - Last Modified: Thu May 16 23:37:39 UTC 2024 - 45.9K bytes - Viewed (0) -
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: Fri May 17 00:12:35 UTC 2024 - Last Modified: Thu May 16 23:37:39 UTC 2024 - 28.2K bytes - Viewed (0) -
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: Fri May 17 00:12:38 UTC 2024 - Last Modified: Thu May 16 23:37:39 UTC 2024 - 55.2K bytes - Viewed (0) -
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: Fri May 17 00:12:41 UTC 2024 - Last Modified: Thu May 16 23:37:39 UTC 2024 - 45.7K 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/java/aggregation/max/Registered: Fri May 17 00:12:48 UTC 2024 - Last Modified: Thu May 16 23:37:39 UTC 2024 - 42.8K bytes - Viewed (0) -
MapElements
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/mapelements/Registered: Fri May 17 00:11:59 UTC 2024 - Last Modified: Thu May 16 23:37:39 UTC 2024 - 42K 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: Fri May 17 00:02:18 UTC 2024 - Last Modified: Thu May 16 23:37:39 UTC 2024 - 57.3K 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: Fri May 17 00:02:37 UTC 2024 - Last Modified: Thu May 16 23:37:39 UTC 2024 - 49K bytes - Viewed (0) -
What is being computed?
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/what-is-being-computed/Registered: Fri May 17 00:13:02 UTC 2024 - Last Modified: Thu May 16 23:37:39 UTC 2024 - 30.2K bytes - Viewed (0)