What data pain points does QuerySurge solve?
QuerySurge solves the following data challenges: The need for improved data quality.
QuerySurge can find data issues such as missing data, truncated data, type mismatches, null translations, wrong translations, misplaced data, extra records, not enough records, transformation logic errors, sequence generator errors, undocumented requirements, duplicate records, numeric precision errors, and rejected rows. The ability to test across diverse platforms.
Whether a Big Data lake, Data Warehouse, traditional database, NoSQL document store, BI reports, flat files, JSON files, SOAP or restful web services, XML, mainframe files, or any other data store. The need to analyze your data, looking for anomalies.
QuerySurge’s Data Analytics Dashboard and Data Intelligence Reports cover the lifecycle of your data testing process by reporting on trends, finding problematic areas and providing root cause analysis. Also, Ready for Analytics helps you to integrate your preferred Business Intelligence tool with QuerySurge to gain deeper, real-time insights into your data validation and ETL testing workflows.The need to speed up your data validation and ETL testing through automation.
You can leverage artificial intelligence to easily automate your data testing. Automation can kick off your tests, perform the data validation, and provide automated emailed reports of the results to your entire team, while updating your change management system. QuerySurge can validate up to 100% of all data up to 1,000 x faster than traditional testing. The ability to integrate data validation into you CI/CD DataOps pipeline.
QuerySurge integrates with most Data Integration/ETL solutions, Build/Configuration solutions, and QA/ Change Management solutions through our the industry’s most extensive RESTful API.