- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 101 - 110 of 198 for host:beam.apache.org (0.04 sec)
-
Large Language Model Inference in Beam
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/large-language-modeling/Registered: Fri May 31 00:12:49 UTC 2024 - Last Modified: Thu May 30 23:38:23 UTC 2024 - 46.8K bytes - Viewed (0) -
Min
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/min/Registered: Fri May 31 00:10:52 UTC 2024 - Last Modified: Thu May 30 23:38:23 UTC 2024 - 40.5K bytes - Viewed (0) -
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/java/aggregation/sample/Registered: Fri May 31 00:10:56 UTC 2024 - Last Modified: Thu May 30 23:38:23 UTC 2024 - 39.7K bytes - Viewed (0) -
Apache Hadoop Input/Output Format 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/hadoop/Registered: Fri May 31 00:06:21 UTC 2024 - Last Modified: Thu May 30 23:38:23 UTC 2024 - 106.5K bytes - Viewed (0) -
Preprocess data
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/preprocess-data/Registered: Fri May 31 00:05:59 UTC 2024 - Last Modified: Thu May 30 23:38:23 UTC 2024 - 49.2K bytes - Viewed (0) -
SDK Harness Configuration
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/runtime/sdk-harness-config/Registered: Fri May 31 00:05:15 UTC 2024 - Last Modified: Thu May 30 23:38:23 UTC 2024 - 41.5K bytes - Viewed (0) -
FlatMapElements
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/flatmapelements/Registered: Fri May 31 00:09:36 UTC 2024 - Last Modified: Thu May 30 23:38:23 UTC 2024 - 39.9K 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/java/elementwise/regex/Registered: Fri May 31 00:10:02 UTC 2024 - Last Modified: Thu May 30 23:38:23 UTC 2024 - 39.5K bytes - Viewed (0) -
ApproximateQuantiles
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/approximatequantiles/Registered: Fri May 31 00:10:24 UTC 2024 - Last Modified: Thu May 30 23:38:23 UTC 2024 - 40.2K 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/python/aggregation/cogroupbykey/Registered: Fri May 31 00:09:00 UTC 2024 - Last Modified: Thu May 30 23:38:23 UTC 2024 - 45.5K bytes - Viewed (0)