Featuring
Whether it’s for an executive dashboard or an ML model, reliable data is critical for the applications that make data-driven companies tick. But when it comes to creating reliable data pipelines, where do you start and what tools and processes do you need in place?
Egor Gryaznov is the co-founder and CTO of Bigeye and was one of the first data engineers at Uber. Egor will draw from his experience supporting thousands of internal users and mission-critical workloads at Uber to provide an actionable guide to data pipeline reliability.
In this presentation, you will learn:
- How to approach building data pipelines for a data application
- What tools you will encounter in development and what you need to know about each
- How to create SLAs to better align with stakeholders
- How to manage the data that your application creates
About the speaker
Egor Gryaznov, CTO of Bigeye
Egor Gryaznov is co-founder and CTO of Bigeye. Prior to co-founding Bigeye, Egor was one of the early engineers at Uber where he scaled the company’s first data warehouse, supporting thousands of internal users and mission-critical workloads. Egor wrote ELT frameworks used by Uber analysts to generate complete data pipelines for KPI reporting from configuration. He developed custom tooling to automate backfills, replication, and critical data warehousing tasks.
Watch the webinar
