jQuery API Documentation Adds the specified class(es) to each element in the set of matched elements. Get the value o...

jQuery API Documentation .ajaxComplete( handler ) Returns: jQuery version deprecated: 3.5 Description: Register a han...

jQuery API Documentation Register a handler to be called when Ajax requests complete. This is an AjaxEvent. Register ...

jQuery 4.0 has been released! jQuery 3.x will now only receive critical updates. Find support for earlier versions at...

jQuery API Documentation .before( content [, content ] ) Returns: jQuery Description: Insert content, specified by th...

jQuery API Documentation .on( "ajaxError", handler ) Returns: jQuery Description: Register a handler to be called whe...

jQuery API Documentation attributeContainsPrefix selector Description: Selects elements that have the specified attri...

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.

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.

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.