How to Build a Robust Data Quality Assurance Strategy for Large-Scale Data Platforms

This article outlines a comprehensive data quality assurance framework for a massive reporting platform, covering the data pipeline architecture, detailed testing methods for timeliness, completeness, and accuracy, as well as application‑level checks, downgrade and backup strategies, and future automation plans.

Data Qualityautomationbig data testing

0 likes · 14 min read

How to Build a Robust Data Quality Assurance Strategy for Large-Scale Data Platforms

Alibaba Cloud Developer

Jul 30, 2019 · Big Data

How to Build a Systematic Data Quality Model for Big Data Testing

This article presents a comprehensive data quality model derived from ISO 9126, maps its characteristics to data testing, outlines practical testing methods and tool requirements, and demonstrates how to integrate quality checks into the data development lifecycle for reliable, efficient big‑data pipelines.

Data QualityData ReliabilityISO 9126

0 likes · 28 min read

How to Build a Systematic Data Quality Model for Big Data Testing

Test Development Learning Exchange

Jun 19, 2018 · Big Data

Python Script for Excel Data Validation and Cross-Referencing

This article presents a Python script for validating and cross-referencing data between Excel files, particularly useful for big data testing scenarios where developers need to verify filtered data accuracy.

Excel AutomationPythonbig data testing

0 likes · 3 min read

Python Script for Excel Data Validation and Cross-Referencing