Data lakes offer unrivaled scalability and performance but are notoriously difficult to manage. Over time an analytics team will spend more time fighting with the technology, instead of deriving useful insights from their data.
We’ll cover best practices for managing large-scale data lakes. Specifically how the strategies of:
— Isolated Ingestion
— CI/CD data deployment
— Dataset Versioning
Provide important guarantees that allow a lake to be managed elegantly even as data and team sizes grow.