In this detailed article, we embark on an exciting project that aims to capture every change to the “commerce.products” and “commerce.users” tables in a Postgres database, making it readily available for analytics. So, let’s dive in and discover the magic of CDC in action! 🚀🔍
Objective: Capture Every Change for Analytics
The primary objective of our project is to capture every change to the “commerce.products” and “commerce.users” tables in a Postgres database. By doing so, we pave the way for real-time analytics, ensuring that the latest data is readily available for analysis and decision-making. With CDC, we eliminate the need for periodic data refreshes, allowing our analytical queries to thrive on the freshest data possible. 💼💡
Prerequisites & Setup: Get Ready to Code Along
To join us on this exciting journey, make sure you have the following prerequisites ready:
For Windows users, we have specific instructions to set up WSL and a local Ubuntu Virtual machine. Once you have all the prerequisites in place, you’re all set to code along with us!
Project Repository and Docker Setup
To kickstart the project, clone the lab repository and move into it using the following commands:
Next, we will use Docker to set up our containers. Run the following commands to start the Docker containers:
In the Minio UI, use “minio” as the username and “minio123” as the password. Here, you’ll find paths such as “commerce/debezium.commerce.products” and “commerce/debezium.commerce.users,” which contain JSON files with change data (create, update, and delete) for their respective tables. 🗂️💻
Exploring the Magic of Change Data Capture
With our project up and running, we can now witness the magic of Change Data Capture in action. The captured change data in JSON format holds the key to real-time analytics and unlocks a world of possibilities for data-driven insights. Every create, update, and delete operation is now at our fingertips, empowering us to make informed decisions based on the freshest data. 🔍📊
Conclusion
Change Data Capture (CDC) proves to be a game-changing technique for organizations seeking real-time data integration and analytics. By capturing every change to specific tables in a Postgres database, CDC ensures that analytical queries thrive on the latest data. The power of real-time insights empowers data-driven decision-making, setting the stage for future success. 🌟🚀
If you’re excited about capturing every change for analytics, stay tuned for more articles exploring CDC’s potential and implementation strategies! 📚💡
Ready to embark on your CDC journey or need assistance with your data projects? Drop us an email at hi@itcrats.com. We’re here to empower your data-driven success! 🤝📧
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