Change Data Capture (CDC) is a technique used to track and capture changes made to data in a database. In this article, we will explore the concept of CDC, how it works, and its applications in data integration and replication.
In this article, we will explore the key features of Redis, a popular in-memory data store. We will discuss how Redis stores data, the different data structures it supports, and how you can interact with data in Redis using commands and client libraries.
In the distributed relational database model, two common models are multi-primary (master-master) and primary-replica (master-slave) replication. Let’s explore how each works, what replication does not give you, and when to use which.