Real-Time Data Ingestion for Big Data Processing

Real-time data ingestion from diverse sources became an essential for businesses seeking to capture and analyze large volumes of data for immediate insights. Apache Flume, an open-source, distributed service designed for collecting, aggregating, and transporting streaming data, provides an efficient solution for real-time data ingestion in big data processing environments. This article explores the role of Apache Flume in enabling businesses to efficiently capture data from various sources, and Ingest it to big data processing systems.

Authors

Publication Details

Journal
International Journal of Science and Research (IJSR)
Published
2025-02-12
DOI
https://doi.org/10.21275/sr25209075243
Primary Topic
Data Quality and Management
Type
article
Field-Weighted Citation Impact
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article

Real-Time Data Ingestion for Big Data Processing

Ranjith Martha
International Journal of Science and Research (IJSR)
Data Quality and Management
article

Real-Time Data Ingestion for Big Data Processing

Ranjith Martha
article en

Abstract

Real-time data ingestion from diverse sources became an essential for businesses seeking to capture and analyze large volumes of data for immediate insights. Apache Flume, an open-source, distributed service designed for collecting, aggregating, and transporting streaming data, provides an efficient solution for real-time data ingestion in big data processing environments. This article explores the role of Apache Flume in enabling businesses to efficiently capture data from various sources, and Ingest it to big data processing systems.

International Journal of Science and Research (IJSR)Vol. 14(2)
Zero hunger
Openalex Percentile: Top 97%
Data Quality and Management
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Real-Time Data Ingestion for Big Data Processing — Ranjith Martha · International Journal of Science and Research (IJSR) (2025) | TGRS Research Map | TGRS