Realtime Change Data Capture Streaming | End to End Data Engineeering Project

7 months ago
10

In this video, we dive deep into the world of Change Data Capture (CDC) and how it can be implemented for real-time data streaming using a powerful tech stack. You will use the integration of technologies like Docker, Postgres, Debezium, Kafka, Apache Spark, and Slack to create an efficient and responsive data pipeline.

Master Data Engineering by enrolling at datamasterylab.com

Timestamps:
0:00 Introduction
0:35 The system architecture
14:40 Getting live data into postgres db
31:00 Connecting to Postgres with Debezium and Kafka from the UI
34:35 Previewing Debezium data on Kafka
37:25 Getting full data from Postgres with Debezium
39:55 Setting up debezium connector from the terminal
41:00 Handling decimal values on debezium
46:00 Getting the user that changed data on postgres with time
53:17 Creating a more robust data capture on postgres
1:03:31 Outro

Don't forget to SUBSCRIBE, LIKE, COMMENT and SHARE for more exciting videos!

🔹 Connect with Us:
Follow us on Twitter: x.com/@DataMasterylab
Follow us on LinkedIn: https://www.linkedin.com/in/yusuf-ganiyu-b90140107

Tags:
Change Data Capture, CDC, Real-Time Streaming, Docker, Postgres, Debezium, Kafka, Apache Spark, Slack, Data Engineering, Data Pipeline, Tech Tutorial, Software Development, Data Streaming, IT Education, End to End Data Engineering

Hashtags:
#ChangeDataCapture #RealTimeData #Docker #Postgres #Debezium #Kafka #ApacheSpark #Slack #DataEngineering #TechTutorial #SoftwareDevelopment #DataStreaming #ITEducation #bigdataanalytics #EndToEndDataEngineeringProject

Loading comments...