LAMBDA ARCHITECTURE: UNIFYING BATCH AND REAL-TIME DATA PROCESSING AT SCALE

Lambda Architecture represents a transformative approach to data processing that effectively bridges the gap between batch and real-time processing requirements in modern data systems.This comprehensive architecture addresses the fundamental challenges of data accuracy, system latency, and processing scalability through its innovative three-layer design.By combining batch processing capabilities with realtime streaming features, the architecture enables organizations to handle massive data volumes while maintaining high consistency and reliability.The framework demonstrates significant advantages in code reusability, fault tolerance, and system maintainability, making it particularly valuable for enterprises dealing with complex data processing needs.Through detailed article analysis of implementation components, technical challenges, and real-world applications, this article explores

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Publication Details

Journal
INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGY
Published
2024-12-20
DOI
https://doi.org/10.34218/ijrcait_07_02_185
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

LAMBDA ARCHITECTURE: UNIFYING BATCH AND REAL-TIME DATA PROCESSING AT SCALE

Seshendranath Balla Venkata
INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGY
Parallel Computing and Optimization Techniques
article

LAMBDA ARCHITECTURE: UNIFYING BATCH AND REAL-TIME DATA PROCESSING AT SCALE

Seshendranath Balla Venkata
article en

Abstract

Lambda Architecture represents a transformative approach to data processing that effectively bridges the gap between batch and real-time processing requirements in modern data systems.This comprehensive architecture addresses the fundamental challenges of data accuracy, system latency, and processing scalability through its innovative three-layer design.By combining batch processing capabilities with realtime streaming features, the architecture enables organizations to handle massive data volumes while maintaining high consistency and reliability.The framework demonstrates significant advantages in code reusability, fault tolerance, and system maintainability, making it particularly valuable for enterprises dealing with complex data processing needs.Through detailed article analysis of implementation components, technical challenges, and real-world applications, this article explores

INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGYVol. 7(2)
Comcast (United States) (US)
Openalex Percentile: Top 75%
Parallel Computing and Optimization Techniques
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