Question: How can I improve collaboration on schema changes and ensure governance in my data team?

One is Metaplane, a data observability platform that offers real-time schema change notifications, automated monitoring and end-to-end data observability. It helps teams quickly identify and resolve data issues, which in turn helps build data trust and collaboration. With features like column-level lineage, usage analytics and ML-based monitoring, Metaplane helps your team quickly identify and resolve data quality issues.

Another good option is Avo, which is geared for collaborative schema management with GitHub-style updates and real-time feedback. Avo also offers customizable alerts, peer reviews and branched workflows to encourage collaboration and ensure data quality. Its integration with analytics tools like Amplitude and Google Analytics makes it even more useful, letting your team keep track of accurate and trustworthy insights.

For a more complete data governance solution, check out CastorDoc. This next-gen data catalog platform combines data governance and self-service analytics so you can easily discover data and validate its quality. With features like data lineage and business glossaries, CastorDoc helps ensure compliance and boosts productivity by reducing reliance on IT for data analysis work.

Last, Coginiti offers a collaborative data operations platform for creating, publishing and consuming trusted data products. It includes deep database object integration, team collaboration tools and a data quality framework. Coginiti supports a range of data platforms and tools, so it's a good choice if you want to ensure consistent analytics and data governance across your team.