INSTITUTIONAL MANAGEMENT SYSTEM

Real-time data processing comes with its own set of challenges, including message delivery guarantee, latency, throughput, and fault tolerance.One way to get around these challenges is by using the right systems to build real-time data processing pipelines.Google Cloud's Pub/Sub and Dataflow services are strong contenders for their individual and collective strengths.Pub/Sub facilitates de-coupled, asynchronous data transmission that's capable of handling massive throughput.Dataflow offers complex data processing capabilities in real-time and, as a managed service, makes the process of building and managing data pipelines highly efficient.Building dataprocessing pipelines using these services allows businesses to get around the common challenges.

Authors

Publication Details

Published
2025-04-24
DOI
https://doi.org/10.34218/ijca_06_01_003
Primary Topic
Accounting and Organizational Management
Type
article
Field-Weighted Citation Impact
0.00
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INSTITUTIONAL MANAGEMENT SYSTEM

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INSTITUTIONAL MANAGEMENT SYSTEM

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article en

Abstract

Real-time data processing comes with its own set of challenges, including message delivery guarantee, latency, throughput, and fault tolerance.One way to get around these challenges is by using the right systems to build real-time data processing pipelines.Google Cloud's Pub/Sub and Dataflow services are strong contenders for their individual and collective strengths.Pub/Sub facilitates de-coupled, asynchronous data transmission that's capable of handling massive throughput.Dataflow offers complex data processing capabilities in real-time and, as a managed service, makes the process of building and managing data pipelines highly efficient.Building dataprocessing pipelines using these services allows businesses to get around the common challenges.

Vol. 6(1)
Openalex Percentile: Top 86%
Accounting and Organizational Management
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