End to End Realtime Streaming with Unstructured Data | Get Hired as an Experienced Data Engineer

In this video you will be building a realtime streaming pipeline for unstructured data with different data types (TEXT, IMAGE, VIDEO, CSV, JSON, PDF) with over 600+ different datasets. MORE DATA ENGINEERING VIDEOS AVAILABLE on datamasterylab.com Like this video? Support the channel: https://www.youtube.com/@codewithyu/join Timestamps: 0:00 Introduction 1:50 System Architecture Overview 4:08 System Architecture Design 13:22 Setting up Spark Streaming for Unstructured Data 21:46 Handling multiple unstructured data types 24:31 Creating data schema 30:35 Creating custom user define functions for data extraction 51:14 Parsing and extracting text data 1:40:30 Structuring the results into a dataframe 1:46:15 Reading JSON structured files into the streams 1:49:47 Joining Structured and Unstructured Data Streams 1:52:50 Writing Data to AWS S3 Bucket 2:04:20 Creating AWS Glue Crawler for the data 2:08:25 Verifying the crawler results on Athena 2:11:36 Deploying Spark Streams to Spark Clusters 2:26:31 Verification of Results 2:29:40 Outro 👦🏻 My Linkedin:   / yusuf-ganiyu-b90140107   🚀 X(Twitter): https://x.com/YusufOGaniyu 📝 Medium:   / yusuf.ganiyu   🌟 Please LIKE ❤️ and SUBSCRIBE for more AMAZING content! 🌟 🔗 Useful Links and Resources: ✅ Source Code and Datasets: https://www.buymeacoffee.com/yusuf.ga... ✅ Docker Compose Documentation: https://docs.docker.com/compose/ ✅ Apache Spark Official Site: https://spark.apache.org/ ✅ Confluent Docs: https://docs.confluent.io/home/overvi... ✅ S3 Documentation: https://docs.aws.amazon.com/s3/ ✅ AWS IAM Documentation: https://docs.aws.amazon.com/IAM/lates... ✨ Tags ✨ Data Engineering, Apache Spark, Unstructured Data, 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 ✨ #DataEngineering #ApacheSpark #unstructureddata #Docker #ETLPipeline #DataPipeline #StreamingData #RealTimeAnalytics