Batch Processing vs. Real-Time Processing – What’s the difference? 🤔
In this short video, we break it down with a simple real-life example! 🏗️💧
👉 Batch Processing is like filling a water tank with buckets – data is collected and processed in chunks.
👉 Real-Time Processing is like a continuous water supply through pipes – data is processed instantly as it flows in.
📌 Key Technologies:
✅ Batch Processing: Apache Spark, Hadoop
✅ Real-Time Processing: Apache Kafka, Flink, AWS Kinesis
⚡ Which one do you prefer? Drop a comment below! 👇
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#DataEngineering #BigData #BatchProcessing #RealTimeProcessing #ApacheKafka #ApacheSpark #DataPipelines #DataScience #TechExplained #AI #MachineLearning #SoftwareEngineering #CloudComputing #100DaysOfData
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