DataOps in a Cloud Native World - Data Engineering Best Practices

Since microservices have taken off, systems generate more and more data. As a result, data engineering teams are coming under the spotlight. Today, understanding how to structure the best practices around data collection, warehousing, and analysis is critical to understanding how our software and business are performing.

In this panel of all women, viewers can expect to learn: What are the key differences in data engineering of the pre-cloud native days and today? What is the importance of version control in data engineering? Are there other alternatives to version control that as equally as good? GitOps for Data Engineering

Speakers: Claire Carroll, dbt Community Manager at Fishtown Analytics Danielle Morrill, General Manager at Meltano Emilie Schario, Data Engineer, Analytics at GitLab Priyanjna Sharma, Senior DataOps Implementation Engineer at DataKitchen