MySQL is one of the most widely used and most popular databases for web applications. Hence, data engineers often have to create pipelines to replicat

Build an ELT pipeline from MySQL using Change Data Capture (CDC)

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2022-07-05 17:00:10

MySQL is one of the most widely used and most popular databases for web applications. Hence, data engineers often have to create pipelines to replicate data stored in MySQL into data warehouses or data lakes to make it available for analytics.

Airbyte is an open-source data integration platform that allows you to easily build ELT pipelines from MySQL into any of the several supported destinations using log-based Change Data Capture (CDC).

CDC is a sought-after method of ingesting data from databases. Even though there are several ways of implementing CDC to ingest data from MySQL, log-based CDC offers essential advantages, which include:

In this tutorial, you’ll learn how to easily create an ELT pipeline to replicate data from a MySQL database using log-based Change Data Capture. I use a local JSON as the destination to illustrate how data looks when replicated from MySQL.

But, before we begin, let’s clarify some key concepts that you should know to understand what happens when you use Airbyte’s MySQL source connector with CDC.

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