Explore how Spotify utilizes Flyte to coordinate financial analytics across the company in this insightful conference talk. Discover the operational needs of ML and Data Engineering in contrast to DevOps, and learn best practices for developing maintainable ML and Data applications. Gain valuable insights into Flyte's role in bridging technical proficiency gaps among users. Delve into the specifics of financial forecasting, requirements gathering, and problem statement formulation. Understand key differences and assumptions in the process. Learn about promoting successful workflows, navigating the UI, and interpreting graphs. Examine why Spotify chose Flyte and how Flyte workflows integrate with Flink. Uncover the benefits of a unified development experience in this comprehensive exploration of Spotify's financial analytics infrastructure.
How Spotify Leverages Flyte to Coordinate Financial Analytics Company-Wide
CNCF [Cloud Native Computing Foundation] via YouTube
Overview
Syllabus
Intro
What is Financial Forecasting
Requirements Gathering Phase
Problem Statement
Key Differences
Assumptions
Promote successful workflows
Workflows
UI Walkthrough
Graphs
Why Flyte
Flyte Workflows
Flink
Unified Dev Experience
Taught by
CNCF [Cloud Native Computing Foundation]
