NicoK commented on a change in pull request #8903: [FLINK-12747][docs] Getting Started - Table API Example Walkthrough URL: https://github.com/apache/flink/pull/8903#discussion_r306775284
########## File path: docs/getting-started/walkthroughs/table_api.md ########## @@ -0,0 +1,445 @@ +--- +title: "Table API" +nav-id: tableapiwalkthrough +nav-title: 'Table API' +nav-parent_id: walkthroughs +nav-pos: 1 +--- +<!-- +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. +--> + +Apache Flink offers a Table API as a unified, relational API for batch and stream processing, i.e., queries are executed with the same semantics on unbounded, real-time streams or bounded, recorded streams and produce the same results. +The Table API in Flink is commonly used to ease the definition of data analytics, data pipelining, and ETL applications. + +* This will be replaced by the TOC +{:toc} + +## What Will You Be Building? + +In this tutorial, you'll learn how to build a continuous ETL pipeline for tracking financial transactions by account over time. +You will start by building your report as a nightly batch job, and then migrate to a streaming pipeline. + +## Prerequisites + +This walkthrough assumes that you have some familiarity with Java or Scala, but you should be able to follow along even if you're coming from a different programming language. +It also assumes that you're familiar with basic relational concepts such as `SELECT` and `GROUP BY` clauses. Review comment: ```suggestion It also assumes that you are familiar with basic relational concepts such as `SELECT` and `GROUP BY` clauses. ``` ---------------------------------------------------------------- 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. For queries about this service, please contact Infrastructure at: [email protected] With regards, Apache Git Services
