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