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A detailed comparison of three different data processing approaches: batch processing, stream processing, and real-time processing. It covers key features such as definition, latency, data handling, use cases, scalability, complexity, error handling, throughput, and data storage. The comparison highlights the distinct characteristics and trade-offs of each processing paradigm, enabling readers to understand the appropriate applications and considerations for implementing these techniques in various data-driven scenarios. The comprehensive overview can be valuable for students, researchers, and professionals working in the fields of data engineering, data analytics, and system architecture.
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Feature Batch Processing
Stream Processing
Real-Time Processing Definition Processes large volumes of data at scheduled intervals
Processes data continuously as it arrives
Processes data instantly or with minimal delay
Latency High latency; data is processed after collection
Low latency; data is processed almost immediately
Very low latency; near- instantaneous processing
Processing Processing Processing
Data Handling
Handles data in chunks or batches
Handles data as individual events or records
Handles data in real-time, often event- driven
Use Cases Financial reporting, end-of-day processing, data warehousing
Real-time analytics, monitoring, live dashboards
Stock trading systems, emergency response systems
Scalability Scales well with increased batch size or frequency
Scales with the volume of incoming data
Requires high performance and quick scaling to
Processing Processing Processing
Throughput High throughput for large datasets
Varies; typically designed for high throughput of continuous data
Requires high throughput to handle real- time demands
Data Storage
Typically involves intermediate storage and then processing
Often involves minimal storage, focusing on processing data on-the- fly
Minimal storage; focuses on immediate data processing and action
Processing Processing Processing Examples End-of-day sales reports, payroll processing
Social media feeds, financial transaction monitoring
Traffic light control systems, live video streaming
