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Apache Beam Python Streaming 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/sdks/python-streaming/Fri Jun 12 00:09:59 GMT 2026 8K bytes -
kubenodes
*kubenodes* - creates records for Kubernetes nodes.coredns.io/explugins/kubenodes/Mon Jun 15 00:19:57 GMT 2026 9.1K bytes -
amazondns
*amazondns* - enables serving an authoritative name server using Amazon DNS Server as the backend.coredns.io/explugins/amazondns/Mon Jun 15 00:19:38 GMT 2026 9.8K bytes -
Beam ZetaSQL mathematical functions
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/dsls/sql/zetasql/math-functions/Fri Jun 12 00:09:59 GMT 2026 6.6K bytes -
dns64
*dns64* enables DNS64 IPv6 transition mechanism.coredns.io/plugins/dns64/Mon Jun 15 00:21:45 GMT 2026 8.9K bytes -
Beam ZetaSQL conditional expressions
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/dsls/sql/zetasql/conditional-expressions/Fri Jun 12 00:09:59 GMT 2026 6.9K bytes -
Beam Calcite SQL aggregate functions
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/dsls/sql/calcite/aggregate-functions/Fri Jun 12 00:09:59 GMT 2026 6.2K bytes -
Beam ZetaSQL conversion rules
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/dsls/sql/zetasql/conversion-rules/Fri Jun 12 00:09:59 GMT 2026 7.3K bytes -
proxyproto
*proxyproto* add [PROXY protocol](https://www.haproxy.org/download/1.8/doc/proxy-protocol.txt) support.coredns.io/plugins/proxyproto/Mon Jun 15 00:23:00 GMT 2026 8.4K bytes -
local
*local* respond to local names.coredns.io/plugins/local/Mon Jun 15 00:23:29 GMT 2026 7.8K bytes