Batch Processing vs Stream Processing | System Design Tradeoffs
In the context of data processing systems, choosing between batch processing and stream processing is a fundamental decision that affects performance, scalability, latency, and complexity. In this video we are going to discuss batch processing and stream processing and see the tradeoffs between the two.
Batch Processing involves processing large volumes of data collectedover a period and data is processed in chunksor "batches" at scheduledintervals.
Stream Processing involves processing data inreal-time as it arrives, data is processed element-by-element with minimal delay.
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• System Design - • FAANG System Design Patterns
• System Design Concepts - • CAP Theorem & PACELC in Distributed System...
• System Design Tradeoffs - • FAANG System Design Tradeoffs
• Data Structures - • FAANG Data Structures
• Object Oriented Design - • FAANG Object Oriented Design Concepts
TABLE OF CONTENTS
• 00:00 Introduction
• 00:26 What is Batch Processing
• 01:15 What is Stream Processing
• 01:57 System Design Tradeoff between Batch Processing and Stream Processing
• 09:44 Hybrid Approaches of Caching and Use Cases
• 10:36 Use Cases of Batch Processing and Stream Processing
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