Scaling an Embedded Database for the Cloud - Challenges and Trade-Offs
Scaling an in-process embedded database to a cloud-native data warehouse requires rethinking architecture and tradeoffs to support distributed, multi-tenant, durable remote execution.
Reading code is a great way to learn to write better code. This involves examining the Python standard library and understanding coding practices through the use of elements like for loops and data structures.
