ETL Testing of a
Snowflake Data Lake
ETL Testing of a Snowflake Data Lake
4-Part Series on Data Validation & ETL Testing
Below is the 2nd webinar in the series.
During this session, see how QuerySurge’s ETL testing solution ensures that data extracted from sources remains intact in the target snowflake data lake by analyzing and pinpointing any differences quickly.
The other 3 webinars that can be viewed are:
Data Migration from on Premises to MySQL in the Azure Cloud
See how QuerySurge can validate data movement from an on-prem data warehouse to MySQL in the Azure cloud.
How to Build a DevOps for Data Testing Pipeline from Jenkins to JIRA
Learn how QuerySurge’s DevOps for Data provides data validation of your Jenkins-to-QuerySurge-to-Jira pipeline, or any DevOps pipeline.
Automated Testing of Power BI Reports
Learn how QuerySurge’s BI Tester provides a successful approach to solving the problem of manually testing data embedded in Power BI tools.