How Data Observability Solves Data Engineers’ Biggest Pains

Data engineers and analysts have become crucial to businesses due to their ability to provide near real-time analyses and accurate predictions that improve decision making, reduce risks, and boost revenues. However, many data engineers face challenges in their job, primarily revolving around difficulties with data sets, including finding the right ones, dealing with changing data structures, and maintaining high performance. Companies have invested heavily in cutting-edge data platforms but often fail to invest in tools that grant visibility and control over the data itself. Data observability is a 360-degree view into data health, processing, and pipelines, providing predictive and automation capabilities for modern heterogenous data infrastructures. Acceldata Torch offers an automated set of modern data management capabilities to ensure data accuracy, reliability, and completeness throughout the entire data pipeline, helping keep data engineers happy and productive.