Data Ingestion Patterns in Big Data Systems: an Analysis of Methods, Architectures, and Implementation Strategies
Year: 2024
Type: article
Abstract: This article comprehensively analyzes data ingestion patterns in modern big data systems, examining their methods, architectures, and implementation strategies.The article explores the evolution of data management systems and their transformation from basic batch processing to sophisticated distributed architectures.It shows various data ingestion patterns, including batch processing, real-time processing, micro-batch architecture, and event-driven systems, while analyzing their effectiveness across different industry verticals.The article addresses critical aspects such as data quality management, scalability design, fault tolerance, monitoring, and security considerations in implementing these patterns.The article provides insights into
Author: Ankur Partap Kotwal
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4405854996