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Change Data Capture (CDC) using Debezium for MySQL
Rating: 4.4 out of 5(289 ratings)
1,481 students
Created byShruti Mantri
Last updated 1/2024
English

What you'll learn

  • Understand what is meant by CDC
  • Ability to capture data changes from MySQL DB
  • Have their own fault-tolerant setup of Debezium connectors
  • Learn in-depth about the Debezium capabilities

Course content

5 sections24 lectures2h 13m total length
  • Introduction to Debezium4:34

    Learn Debezium, an open source change data capture platform, that streams row-level database changes in order to Kafka, enabling real-time data sync across MySQL, PostgreSQL, and more.

  • Introduction to Kafka Connect3:37
  • Change Data Capture2:26

    Capture database changes in real time with change data capture, replacing batch snapshots, and feed them into a destination via a Debezium-driven Kafka Connect pipeline.

  • Introduction to Schema Registry3:06
  • Debezium for MySQL Database2:39

    Explore the Debezium for MySQL division connector and its topologies. Learn how binlog monitoring and position tracking enable reliable changes across standalone, primary and replica, and high availability clusters.

  • Quiz on Introduction

Requirements

  • Basic MySQL commands
  • Basic knowledge of Kafka

Description

Debezium is an open source distributed platform for change data capture. It is a well-known tool for capturing the data change in your databases, and bring it to your apps as soon as they take place.

Debezium is used in production by a wide range of companies and organizations. Debezium has the capability to capture data change across different databases like MySQL, PostgresSQL, SQL Server, Oracle DB, MongoDB, Cassandra, DB2 and Vitess.

In this course, we will learn in detail how to use Debezium with MySQL database.

What's included in the course?

  • Complete course on Debezium capabilities explained from Scratch.

  • Explored in detail how you can integrate Debezium with MySQL server.

  • Each and Every Debezium concept is explained with a HANDS-ON.

  • Detailed steps on Debezium setup in both standalone and production scenarios.

  • Includes even those concepts, the explanation to which is not very clear even in Debezium official documentation.

  • Related Commands and Datasets used in lectures are attached in the course for your convenience.

  • Also contains an additional module on how to use Debezium in production.

Who should take this course?

  • Data engineers who are specializing in Data Ingestion.

  • Computer graduate interested in mastering Data Engineering.

  • Data architects who want to understand in detail the concept of change data capture.

Who this course is for:

  • Data Engineers who want to advance in their careers
  • Data Engineers who want to understand Data Ingestion process
  • Data Architects who want to get detailed understanding of Change Data Capture
  • Engineers who want to learn about Debezium