|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 185 - Issue 9 |
| Published: May 2023 |
| Authors: Kiran Peddireddy |
10.5120/ijca2023922740
|
Kiran Peddireddy . Kafka-based Architecture in Building Data Lakes for Real-time Data Streams. International Journal of Computer Applications. 185, 9 (May 2023), 1-3. DOI=10.5120/ijca2023922740
@article{ 10.5120/ijca2023922740,
author = { Kiran Peddireddy },
title = { Kafka-based Architecture in Building Data Lakes for Real-time Data Streams },
journal = { International Journal of Computer Applications },
year = { 2023 },
volume = { 185 },
number = { 9 },
pages = { 1-3 },
doi = { 10.5120/ijca2023922740 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2023
%A Kiran Peddireddy
%T Kafka-based Architecture in Building Data Lakes for Real-time Data Streams%T
%J International Journal of Computer Applications
%V 185
%N 9
%P 1-3
%R 10.5120/ijca2023922740
%I Foundation of Computer Science (FCS), NY, USA
The purpose of this paper is to investigate how Kafka can be used to construct data lakes for real-time data processing. Kafka has gained widespread popularity as a data ingestion and processing tool that offers scalability, fault tolerance, and flexibility. The benefits of utilizing Kafka in a data lake architecture are analyzed, as well as the procedures involved in utilizing Kafka in a data lake architecture. In addition, a case study is provided of a major financial institution that utilized Kafka to establish a data lake. The significance of Kafka in modern data processing is emphasized in this paper, as well as its worth in developing data lakes for real-time data processing.