acts on behalf of the user on the session. This is usually the connection user (or the user that authenticates). This user can impersonate another Impersonation user, which is allowed if the connection user is authorized to impersonate the target user based on the inbound impersonation policies (USER role). By default, impersonation is disabled. Queries execute on behalf of the web user. Users and administrators have different navigation bars. Various tabs are shown based on privileges. For Authorization example, only administrators can see the Storage tab and create/read/update/delete storage plugin configuration. Conclusion Encouraging result of POC and thereafter usage in actual projects promises a lot of benefits by the automated data validation framework using Apache Drill Tool. This can provide significant effort saving as well as risk avoidance as far as data quality concerns prevail in modern era Business environment. This comprehensive and flexible data validation framework can bring significant value to, but not limited to, various functions like developer self-testing, independent QA and load testing. References & Appendix https://www.infosys.com/it-services/validation...papers/.../data-quality-migration.pdf
Impersonation acts on behalf of the user on the session. This is usually the connection user (or the user that authenticates). This user can impersonate another user, which is allowed if the connection user is authorized to impersonate the target user based on the inbound impersonation policies (USER role). By default, impersonation is disabled. Authorization Queries execute on behalf of the web user. Users and administrators have different navigation bars. Various tabs are shown based on privileges. For example, only administrators can see the Storage tab and create/read/update/delete storage plugin configuration. Conclusion Encouraging result of POC and thereafter usage in actual projects promises a lot of benefits by the automated data validation framework using Apache Drill Tool. This can provide significant effort saving as well as risk avoidance as far as data quality concerns prevail in modern era Business environment. This comprehensive and flexible data validation framework can bring significant value to, but not limited to, various functions like developer self-testing, independent QA and load testing. References & Appendix https://www.infosys.com/it-services/validation...papers/.../data-quality-migration.pdf
stc-2017-infosys-data-validation-framework-1.0.docx