Here’s How to Fix It

In most enterprises, data leaders are contending with a complex tool stack for managing data pipelines. These tools initially started as on-premises solutions but have since moved partially or entirely to the cloud, creating a fragmented environment. Typically, each component of the stack has its own mechanism for running its processing.

This white paper explores how fragmented automation and limited observability impact data pipelines, offering actionable strategies to enhance efficiency, reduce failures, and ensure on-time data delivery.