Improve query performance and optimize costs in BigQuery using the anti-pattern recognition tool
A new BigQuery anti-pattern recognition tool scans SQL queries to identify anti-patterns, and provides optimization recommendations.
A new BigQuery anti-pattern recognition tool scans SQL queries to identify anti-patterns, and provides optimization recommendations.
By now, you should have read the headlines that Qlik's acquisition of Talend is complete, and we're excited to expand our best-in-class capabilities to help you access, transform, trust, analyze, and take action with your data. You might have seen Mike Capone's QlikWorld keynote or the recent "What's Next is Now" webinar and wondered how to leverage these new capabilities in your organization.
By now, almost everyone across the tech landscape has heard of the Zero Trust (ZT) security model, which assumes that every device, application, or user attempting to access a network is not to be trusted (see NIST definitions below). But as models go, the idea is easier than the execution.
Qlik and its NGO partners focus on leveraging data to bring a positive impact to the world. While we are still seeing the effects of the COVID pandemic throughout society, there are tremendous lessons that we can carry forward to be better prepared for the next likely pandemic.
Dataform, now GA, lets data engineers build SQL pipelines in BigQuery while following best practices like Git, CI/CD, and code lifecycle management.