Soda Data Reliability Engineering

Join Tom and Vijay for a one hour hands-on coding session, where you will use Soda’s Open Source tools to see how you can build reliability and observability into your data systems at scale. You’ll be given a hackathon-type challenge so that you can experience how Soda works across the data product lifecycle, including testing and validating data, version control, managing data expectations in Git, and how to publish the results to easily collaborate with the business. You’ll see first-hand how to apply “as-code” principles to the testing domain, to ensure it is highly automatable and that the ongoing management of your data systems is more efficient. We’ll also be previewing Soda’s new Domain Specific Language (DSL) for data and analytics engineers. Our new language introduces: - Human readable data quality checks that everyone can understand - Easy and powerful domain-specific language to create coverage fast - Leverage out-of-the-box templates and smart suggestions You will walk away with practical experience on how to design systems in such a way that they become more reliable, and when problems happen, you have the observability to resolve them and maximize data availability. And yes, there’ll be prizes and free swag for everyone that participates! Speakers: Tom Baeyens, Co-Founder & CTO and Vijay Kiran, Lead, Developer Tools