Data Validation Framework | Manoj Kumar Anand & Pranavi Kandagadla Prasad
Watch this session where ๐๐๐ง๐จ๐ฃ ๐๐ฎ๐ฆ๐๐ซ ๐๐ง๐๐ง๐, QA Engineer, AWS, and ๐๐ซ๐๐ง๐๐ฏ๐ข ๐๐๐ง๐๐๐ ๐๐๐ฅ๐ ๐๐ซ๐๐ฌ๐๐, QA Manager, AWS talks about building a customizable data validation framework for file-based target systems. They discuss the challenges of data validation and why thereโs no one-size-fits-all solution. Their framework, built using AWS services, automates essential data checks like null checks, file structure validation, valid value checks, and duplicate detection.
35+ Sessions
60+ Speakers
20,000+ Attendees
2000+ Minutes
Live Q&As
Automated data validation tasks using a unified framework.
Native AWS services integration for seamless implementation.
Consistent and reliable data quality checks across pipelines.
CDK-based framework for easy deployment and use.
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