Continuous Integration Deployment Data Systems is a M.Tech project topic for Computer Science & Engineering. It gives students a clear starting point for research, implementation planning, and documentation.
Continuous Integration Deployment Data Systems Project Details
| Abstract |
This study examines the design, implementation, and assessment of Continuous Integration/Continuous Deployment (CI/CD) practices for complex data systems. The primary goal is to create a set of structured methodologies to enable fluid and low-risk operational changes across the code, data, and infrastructure. The proposed system aims to provide a safe and stable environment for data engineers and scientists to perform rapid experimentation and innovation with production data systems. Important areas studied include the architectural development of robust build pipelines for various data-centric artifacts; integration of advanced data quality assurance within continuous integration; and environment management techniques to manage reproducibility throughout the development, testing, and production levels. The goal of this
research is to develop a pioneering approach to CI/CD that maximizes the reliability, maintainability, and evolutionary capability of contemporary data ecosystems and outlines future practices for data engineering. This includes examining advanced observability, comprehensive testing frameworks, and the integration of governance, compliance, and security controls throughout the CI/CD process.
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| Reference Paper |
Continuous Integration and Deployment for Data Systems |
| Domain |
Computer Science & Engineering |
| Sub-Domain |
Data Science & Big Data / Business Intelligence |
| PDF Download |
Download / View PDF |
| Get Help |
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