Batch Processing vs Stream Processing | Data Engineering Explained
In this video, I’ll explain the key concepts of batch processing and stream processing — two fundamental approaches to handling large volumes of data. You’ll learn how data is processed in bulk (batch) vs in real-time (stream), their use cases, benefits, and when to choose one over the other.
📌 What You’ll Learn in This Video:
What is batch processing?
What is stream processing?
Real-world examples of both approaches
Pros and cons of batch vs stream
Tools & technologies (Apache Spark, Kafka, Azure Stream Analytics, etc.)
How businesses use these methods for real-time insights and big data analytics
Whether you’re a student of data science, a data engineer, or someone curious about real-time analytics, this video will give you a clear step-by-step explanation of how batch and stream processing work.
💡 By the end, you’ll understand how these methods power dashboards, fraud detection, IoT analytics, and large-scale reporting.
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#BatchProcessing #StreamProcessing #DataEngineering #BigData #ApacheSpark #Kafka #RealTimeAnalytics
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