Real-Time Data Ingestion for Big Data Processing

Ranjith Martha

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.

Keywords: Data Ingestion, Big Data, Apache Flume, Hadoop Eco system

How to Cite?: Ranjith Martha, "Real-Time Data Ingestion for Big Data Processing", Volume 14 Issue 2, February 2025, International Journal of Science and Research (IJSR), Pages: 570-572, https://www.ijsr.net/getabstract.php?paperid=SR25209075243, DOI: https://dx.doi.org/10.21275/SR25209075243