Documenting Ingestion Framework Architecture, Design Decisions, and Implementation Details
Fasihuddin Mirza · Journal of Artificial Intelligence Machine Learning and Data Science · 2023
This academic journal aims to provide a comprehensive documentation of the architecture, design decisions, and implementation details of an ingestion framework.The framework facilitates efficient and reliable data ingestion from heterogeneous sources into a target system, enabling organizations to leverage their data for various analytical purposes.The journal elaborates on the key components of the ingestion framework, highlighting the architectural design choices made, and discussing the implementation aspects involved.Through this documentation, readers can gain insights into the framework's functionality, scalability, and applicability in different use cases.