Journal of Algorithms and Computation
Open Access

DataBay: A Unified Platform for Automating Data Warehouse Management, Real-Time Data Processing, and Ensuring Data Quality and Monitoring

Document Type : Research Paper

Authors

Mostafa Ghadimi 1
Niyusha Baghayi 2
Alireza Shateri 2

1 ut.ac.ir

2 databurst.tech

https://doi.org/10.22059/jac.2025.389920.1222
Abstract
As organizations increasingly depend on large-scale data for strategic decision-making, managing data warehouses has become a complex and resource-intensive challenge. This paper introduces DataBay, a unified platform designed to automate the entire data warehouse lifecycle, from data ingestion and transformation to real-time processing, monitoring, and ensuring data quality. DataBay leverages Avro for data serialization, providing optimal throughput and storage efficiency. Additionally, its automated data pipeline orchestration, along with built-in data quality checks, enhances the reliability and accuracy of insights derived from the data. The platform’s architecture is highly scalable, supporting enterprise-level datasets and adapting to evolving business needs. Through its seamless integration and flexibility, DataBay helps businesses make timely, data-driven decisions and enables continuous optimization of data workflows. This paper discusses the platform’s architecture, its implementation in real-world industry settings, and the significant business value it delivers by enhancing operational efficiency and empowering data-driven decision-making across organizations.

Keywords

Data Warehouse
Data Engineering
Real-time Data Processing
Data Quality
Data Management
Business Intelligence
Data Transformation
Data Monitoring
Scalable Data Platform
Journal of Algorithms and Computation
Volume 56, Issue 2
December 2024
Pages 75-88

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