Tag: ApacheSpark

Mastering Spark: Creating Resiliency with Retry Logic
Mastering Spark: Creating Resiliency with Retry Logic
Blog Posts

In any programming environment, handling unreliable processes—whether due to API rate limiting, network instability, or transient failures—can be a significant challenge. This is not exclusive to Spark but applies to distributed systems and programming languages across the board. In this post, we’ll focus on Python (since I’m a PySpark developer) and explore how to make… READ MORE