Automating Data Quality Checks with Node.js and Python

Author(s)	Raju Dachepally
Country	United States
Abstract	Ensuring high-quality data is critical for enterprise applications, analytics, and decision-making. Manual data quality checks are prone to errors and inefficiencies, making automation a necessity. This paper explores the use of Node.js and Python for automating data quality validation, covering key principles, frameworks, and best practices. We discuss implementation strategies, including schema validation, anomaly detection, and error handling using Node.js for real-time processing and Python for advanced data analysis. The paper includes architectural flowcharts, pseudocode, and real-world applications to provide a comprehensive guide for software engineers and data professionals.
Keywords	Data Quality Automation, Node.js, Python, Data Validation, Anomaly Detection, API-Driven Data Checks, Data Pipelines
Field	Engineering
Published In	Volume 16, Issue 1, January-March 2025
Published On	2025-01-03
Cite This	Automating Data Quality Checks with Node.js and Python - Raju Dachepally - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.5281/zenodo.14866134
DOI	https://doi.org/10.5281/zenodo.14866134
Short DOI	https://doi.org/g84xk2

About IJSAT Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us	Message on WhatsApp	+91-9687-182-185	editor@ijsat.org

International Journal on Science and Technology