Apache Paimon: the Streaming Lakehouse
出处：
www.ververica.com
作者：
Giannis Polyzos
Since its inception, Apache Flink has undergone significant evolution. Today, it not only serves as a unified engine for both batch and streaming data processing but also paves the way toward a new era of streaming data warehouses. Apache Flink has the concept of Dynamic Tables, which bear resemblance to materialized views in databases. However, unlike materialized views, Dynamic Tables are not directly queryable. Recognizing the need to support querying of intermediate tables
