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

As organizations increasingly depend on large-scaledata for strategic decision-making, managing data warehouses hasbecome a complex and resource-intensive challenge. This paperintroduces DataBay, a unified platform designed to automate theentire data warehouse lifecycle, from data ingestion andtransformation to real-time processing, monitoring, and ensuringdata quality. By streamlining these processes, DataBay reduces theneed for specialized technical expertise, enabling fasterimplementation and more efficient data management. Theplatform integrates critical components such as Change DataCapture (CDC), Kafka, and Prometheus to ensure high-performance data processing and real-time monitoring withoutdisrupting production environments. DataBay leverages Avro fordata serialization, providing optimal throughput and storageefficiency compared to traditional formats like JSON.Additionally, its automated data pipeline orchestration, along withbuilt-in data quality checks, enhances the reliability and accuracyof insights derived from the data. The platform’s architecture ishighly scalable, supporting enterprise-level datasets and adaptingto evolving business needs. Through its seamless integration andflexibility, DataBay helps businesses make timely, data-drivendecisions and enables continuous optimization of data workflows.This paper discusses the platform’s architecture, itsimplementation in real-world industry settings, and the significantbusiness value it delivers by enhancing operational efficiency andempowering data-driven decision-making across organizations.

Keywords:

Data Warehouse , Data Engineering , Real-time DataProcessing , Data Quality , Data Management , Business Intelligence , Data Transformation , Data Monitoring , Scalable Data Platform