In this video, you will be building a real-time data streaming pipeline, covering each phase from data ingestion to processing and finally storage. We'll utilize a powerful stack of tools and technologies, including Apache Airflow, Python, Apache Kafka, Apache Zookeeper, Apache Spark, and Cassandra—all neatly containerized using Docker.
📚 What You'll Learn:
👉 Setting up a data pipeline with Apache Airflow
👉 Streaming data with Kafka and Kafka Connect
👉 Using Zookeeper for distributed synchronization
👉 Data processing with Apache Spark
👉 Data storage solutions with Cassandra and PostgreSQL
👉 Containerizing your data engineering environment with Docker
✨ Timestamps: ✨
0:00 Introduction
0:53 System architecture
3:47 Getting data from API with Airflow
17:10 Docker Compose for the architecture
26:09 Streaming data into Kafka
44:29 Apache Spark and Cassandra setup
49:33 Streaming data into cassandra
1:27:05 Outro
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✨ Tags ✨
Data Engineering, Apache Airflow, Kafka, Apache Spark, Cassandra, PostgreSQL, Zookeeper, Docker, Docker Compose, ETL Pipeline, Data Pipeline, Big Data, Streaming Data, Real-time Analytics, Kafka Connect, Spark Master, Spark Worker, Schema Registry, Control Center, Data Streaming
✨ Hashtags ✨
#confluent #DataEngineering #ApacheAirflow #Kafka #ApacheSpark #Cassandra #PostgreSQL #Docker #ETLPipeline #DataPipeline #StreamingData #RealTimeAnalytics