rmetzger commented on code in PR #676: URL: https://github.com/apache/flink-web/pull/676#discussion_r1341269428
########## docs/i18n/en.yaml: ########## @@ -0,0 +1,163 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at + +# http://www.apache.org/licenses/LICENSE-2.0 + +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. + +- id: hero.title + translation: Apache Flink + +- id: hero.subtitle + translation: Stateful Computations over Data Streams + +- id: hero.blurb + translation: Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams. Flink has been designed to run in all common cluster environments, perform computations at in-memory speed and at any scale. + +- id: learn-more + translation: Learn More + +- id: flink-capabilities + translation: Flink Capabilities + +- id: correctness-guarentees + translation: Correctness guarantees + +- id: correctness-guarentees.exactly-once + translation: Exactly-once state consistency + +- id: correctness-guarentees.event-time + translation: Event-time processing + +- id: correctness-guarentees.late-data-handling + translation: Sophisticated late data handling + +- id: layered-apis + translation: Layered APIs + +- id: layered-apis.sql + translation: SQL on Stream & Batch Data + +- id: layered-apis.data-stream-set + translation: DataStream API & DataSet API + +- id: layered-apis.process-function + translation: ProcessFunction (Time & State) + +- id: operational-focus + translation: Operational focus + +- id: operational-focus.flexible-deployment + translation: Flexible deployment + +- id: operational-focus.high-availability + translation: High-availability setup + +- id: operational-focus.savepoints + translation: Savepoints + +- id: scalability + translation: Scalability + +- id: scalability.scale-out + translation: Scale-out architecture + +- id: scalability.large-state + translation: Support for very large state + +- id: scalability.incremental-checkpoints + translation: Incremental Checkpoints + +- id: performance + translation: Performance + +- id: performance.low-latency + translation: Low latency + +- id: performance.high-throughput + translation: High throughput + +- id: performance.in-memory + translation: In-Memory computing + +- id: use-cases + translation: Use Cases + +- id: use-cases.event-driven + translation: Event Driven Applications + +- id: use-cases.event-driven.description + translation: An event-driven application is a stateful application that ingest events from one or more event streams and reacts to incoming events by triggering computations, state updates, or external actions. + +- id: use-cases.stream-batch + translation: Stream & Batch Analytics + +- id: use-cases.stream-batch.description + translation: Analytical jobs extract information and insight from raw data. Traditionally, analytics are performed as batch queries or applications on bounded data sets of recorded events. + +- id: use-cases.pipelines-etl + translation: Data Pipelines & ETL + +- id: use-cases.pipelines-etl.description + translation: Extract-transform-load (ETL) is a common approach to convert and move data between storage systems. + +- id: use-cases.learn-more + translation: Learn more about Flink use cases + +- id: blog-posts + translation: Recent Flink blogs + +- id: footer.disclaimer + translation: The contents of this website are © 2023 Apache Software Foundation under the terms of the Apache License v2. Apache Flink, Flink, and the Flink logo are either registered trademarks or trademarks of The Apache Software Foundation in the United States and other countries. + +- id: footer.powered-by + translation: Powered by + +- id: footer.flink-package + translation: flink-package.org Review Comment: ```suggestion translation: flink-packages.org ``` -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: issues-unsubscr...@flink.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org
