QuerySurge Use Cases FAQ
Q: What use cases are supported?
Data Warehouse & ETL Testing: Automate the data validation & testing of Data Warehouses and the ETL process.Big Data Testing: Test any Big Data implementation, whether it be Hadoop or NoSQL data store from all major vendors.DevOps for Data / Continuous Testing: Dynamically create data validation tests and integrate with other solutions in your DataOps pipeline.Data Migration Testing: Migrating from legacy systems to a new system, from one vendor to another, or from on-prem to the cloud.BI Report Testing: Retrieve data from reports and validate that data against a source or target data or another report.Enterprise App / ERP Testing: Automate the testing of data feeds into/out of ERP, CRM, HR system, or any large enterprise system. Q: Does QuerySurge use artificial intelligence to support its testing?
A: Yes it does! QuerySurge AI is a generative Artificial Intelligence solution that simplifies and speeds up ETL testing. It creates data validation tests, including transformational tests, based on data mappings. The average data warehouse project has between 250 to 1,500 data mappings and test creation for each mapping requires approximately 1 hour per test. With QuerySurge AI, test creation happens in minutes, converting data mappings into tests written in the data store’s native SQL with little to no human intervention, reducing the need for people skilled in SQL. Q: What data pain points does QuerySurge solve?
A: 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.