This is a whole-journey guide for Apache Doris users, especially those from the financial sector, which requires a high level of data security and availability. If you don’t know how to build a real-time data pipeline and make the most of the Apache Doris functionalities, start with this post, and you will be loaded with inspiration after reading.
This is the best practice of a non-banking payment service provider that serves over 25 million retailers and processes data from 40 million end devices. Data sources include MySQL, Oracle, and MongoDB. They were using Apache Hive as an offline data warehouse but feeling the need to add a real-time data processing pipeline. After introducing Apache Doris, they increase their data ingestion speed by 2~5 times, ETL performance by 3~12 times, and query execution speed by 10~15 times.
