Hi, We are looking into a production use case of using Flink, to process multiple streams of data from Kafka topics.
We plan to perform joins on these streams and then output aggregations on that data. We plan to use the Table API and SQL capabilities for this. We need to prepare a plan to productionize this flow, and were looking into how Flink features like Checkpoints and Savepoints and state management are being utilized here (In case of Table API). Can you point me towards any documentation/articles/tutorials regarding how Flink is doing these in case of the Table API and SQL? *Thanks and regards!* Vaibhav
