Data Warehouse vs. Operational Database! What? How? Which One?

This article discusses the fundamental differences between a data warehouse and an operational database, explaining that while they provide similar functionalities, they are optimized for different use cases. Data warehouses are generally optimized for OLAP (online analytical processing) workloads, while operational databases are generally optimized for OLTP (online transactional processing) workloads. The article covers topics such as the architectural differences between these technologies, examples of OLTP and OLAP workloads, benchmark results comparing an OLTP database with an up-and-coming OLAP data warehouse, when to use an operational database or a data warehouse, and how Airbyte can be used to synchronize data from an operational database to a data warehouse as part of an overall data integration strategy.