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Internals | jQuery API Documentation
jQuery API Documentation The DOM node context originally passed to jQuery(); if none was passed then context will lik...api.jquery.com/category/internals/Registered: Fri Nov 01 00:07:43 UTC 2024 - Last Modified: Fri Nov 01 00:07:42 UTC 2024 - 25.8K bytes - Viewed (0) -
Properties | jQuery API Documentation
jQuery API Documentation The DOM node context originally passed to jQuery(); if none was passed then context will lik...api.jquery.com/category/properties/Registered: Fri Nov 01 00:07:47 UTC 2024 - Last Modified: Fri Nov 01 00:07:47 UTC 2024 - 33.3K bytes - Viewed (0) -
MainframeModernizationApplicationTesting - Boto...
Contents Menu Expand Light mode Dark mode Auto light/dark mode Close Menu Hide navigation sidebar Hide table of conte...boto3.amazonaws.com/v1/documentation/api/latest/reference/services/apptest.htmlRegistered: Fri Nov 01 00:07:13 UTC 2024 - Last Modified: Thu Oct 31 19:47:18 UTC 2024 - 72.6K bytes - Viewed (0) -
:checkbox Selector | jQuery API Documentation
jQuery API Documentation checkbox selector Description: Selects all elements of type checkbox. version added: 1.0 jQu...api.jquery.com/checkbox-selector/Registered: Fri Nov 01 00:06:23 UTC 2024 - Last Modified: Fri Nov 01 00:06:23 UTC 2024 - 36.1K bytes - Viewed (0) -
callbacks.has() | jQuery API Documentation
jQuery API Documentation callbacks.has( [callback ] ) Returns: Boolean Description: Determine whether or not the list...api.jquery.com/callbacks.has/Registered: Fri Nov 01 00:06:55 UTC 2024 - Last Modified: Fri Nov 01 00:06:55 UTC 2024 - 27K bytes - Viewed (0) -
Apache Beam: Developing I/O connectors for Java
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/developing-io-java/Registered: Fri Nov 01 00:06:41 UTC 2024 - Last Modified: Thu Oct 31 17:42:16 UTC 2024 - 60.2K bytes - Viewed (0) -
Map
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/map/Registered: Fri Nov 01 00:06:47 UTC 2024 - Last Modified: Thu Oct 31 17:42:16 UTC 2024 - 48.8K bytes - Viewed (0) -
FlatMap
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/flatmap/Registered: Fri Nov 01 00:07:21 UTC 2024 - Last Modified: Thu Oct 31 17:42:16 UTC 2024 - 50.6K bytes - Viewed (0) -
Pipeline option 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/pipeline-options/Registered: Fri Nov 01 00:04:53 UTC 2024 - Last Modified: Thu Oct 31 17:42:16 UTC 2024 - 54K bytes - Viewed (0) -
Enrichment
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/enrichment/Registered: Fri Nov 01 00:04:29 UTC 2024 - Last Modified: Thu Oct 31 17:42:16 UTC 2024 - 41.4K bytes - Viewed (0)