Proactive Monitoring of Data Platform using Machine Learning
Minimizing resolution time of any problems impacting your critical applications is key to maintaining operations and keeping end users and consumers happy. Delays in time-to-production such as errors with data pipelines or issues resulting in data inconsistencies can result in increased costs or even lost revenue. Machine learning (ML) can play a major role as it offers a paradigm shift in data platform monitoring. By analyzing historical data and identifying patterns, ML models can proactively predict and prevent potential problems.
