This talk aims to provide insights into the data engineering infrastructure used by the Data Team at Docker to deliver metrics and insights to various audiences. The talk covers topics such as data services, data stack, custom ETL, building data products, dashboarding, technical support, metrics, challenges, and concludes with key learnings and best practices. The intended audience for this talk includes data engineers, data scientists, data analysts, and anyone interested in understanding how data is leveraged within a company.
Overview
Syllabus
Intro
Data Services
Data Stack
Custom ETL
Building a Data Product
Dashboarding
Technical Support
Metrics
Dashboards
Challenges
Outro
Taught by
Docker