- Maximize Efficiency: New Monitoring and Alerting Tools in Databricks Workflows
Navigating complex data workflows can be tough, with uncertainties at every turn. Ensuring data accuracy, finding performance issues, and keeping pipelines reliable can be tough tasks. Without strong monitoring and alerting tools, these problems can turn into time-consuming hurdles. Databricks understands these difficulties and provides developers with tools to spot issues early, enhance performance, and keep data journeys on track.
As more businesses shift their operations to the cloud, keeping a close eye on the performance and reliability of their applications becomes increasingly important. This is where monitoring and alerting come into play, and in this article, we’ll take a closer look at how they can be used in Azure to ensure that your applications and services are operating smoothly. Whether you’re an experienced Azure user or just starting out, you’ll find plenty of valuable information here on the best tools and techniques for monitoring and alerting in Azure. With these tools at your disposal, you can keep your applications running smoothly 24/7, ensuring that your business stays ahead of the game.
This is part two of a series of blogs for Databricks Delta Live tables.In part one of the blog we have discussed the basic concepts and terminology related to Databricks Delta Live tables. In this blog, we will learn how to implement Databricks Delta Live Table in three easy steps.
In this blog, I have discussed how to implement lineage, insights (reporting), and monitoring capabilities in Microsoft Purview.
First, we will understand what Lineage is and why it is important. Then, we will understand Purview’s insights capabilities and how purview provides the unique capabilities of reporting for Assets, Scans, Glossary, classification, and Sensitivity Labels.
Finally, we will gain knowledge on why it is important to monitor the purview environment and how to monitor it based on best practices.