Our end-to-end big data validation not only helped to validate all forms of data conversion but also test them early and save huge costs and reduce time-to-market
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- Implemented separate big data platforms (Hadoop cluster) for social data processing
- Deployed big data technology and test strategy to ensure the successful consolidation and implementation of huge data coming from numerous sources
- Executed robust functional and user interface testing including look and feel testing
- Improved test coverage with data validation conducted for various brands, countries, calendar periods, etc.
- Conducted reuse repository of Structured Query Language (SQL) and test cases
- Ensured clean and quality data in reports via 100 percent data validation for all reports
Automated E2E Test conversions
100% data coverage with validations conducted for various categories of brands by data conversion techniques
Key highlights of the solution
- Data ingestion validation
- Hadoop Distributed File System (HDFS) data load / data validation / map reduces validation
- Hive validation
- Data visualization validation
- Mobile validation