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Data Validation Framework | Manoj Kumar Anand & Pranavi Kandagadla Prasad

Data Validation Framework | Manoj Kumar Anand & Pranavi Kandagadla Prasad

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About the talk

Watch this session where ๐Œ๐š๐ง๐จ๐ฃ ๐Š๐ฎ๐ฆ๐š๐ซ ๐€๐ง๐š๐ง๐, QA Engineer, AWS, and ๐๐ซ๐š๐ง๐š๐ฏ๐ข ๐Š๐š๐ง๐๐š๐ ๐š๐๐ฅ๐š ๐๐ซ๐š๐ฌ๐š๐, 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 thereโ€™s 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.

Key Highlights

35+ Sessions

60+ Speakers

20,000+ Attendees

2000+ Minutes

Live Q&As

Key Topics Covered

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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