Databricks has become a popular computing framework for big data as organizations increase their investments of moving data applications to the cloud. With that journey comes the promise of better collaboration, processing, and scaling of applications to the Cloud. However, customers are finding unexpected costs eating into their cloud budget as monitoring/observability tools like Ganglia, Grafana, the Databricks console only telling part of the story for charge/showback reports.
Join Mick Nolen, Senior Solutions Engineer at Unravel Data, as he takes you through Unravel’s approach to getting better and finer grain visibility with Databricks on AWS or Azure. He will take you through:
An overview of out of the box solutions for monitoring Databricks
Why enhanced visibility matters with Databricks environments
How Unravel helps you gain finer grain visibility into Databricks pipelines