Leonard Xu

Real-time data ingestion can provide fresher business data and help make more timely and accurate business decisions. Flink CDC is a widely used streaming data integration tool, it can seamlessly synchronize data from databases such as PostgreSQL and MySQL to data lakes such as Iceberg and Paimon, helping users to efficiently build real-time data lakehouse.

Real-time lakehouse accelerates data insights, enabling more timely and accurate business decisions, and real-time data ingestion is the first step in building a real-time lakehouse.

Apache Flink is the de facto standard for stream computing, as an excellent real-time computing engine, how to interact with external systems for data, especially how to read business data in the database for computing, is crucial to building Flink applications.

There are many different ETL solutions available in the market to load data continuously from the different databases. Change-Data-Capture (CDC) tools are becoming one of the most popular and efficient solutions to move data out of the RDBMS databases.

The freshness of data significantly impacts the value of data insights, especially for business data stored in databases. The rapid development of real-time computing and real-time analytics technologies has increased the demand for low-latency data pipelines.