Document Type : Research Paper

Authors

• Mostafa Ghadimi ¹
• Niyusha Baghayi ²
• Alireza Shateri ²

¹ ut.ac.ir

² databurst.tech

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