Why Enhanced Visibility Matters for your Databricks Environment

Presented by

Mick Nolen, Senior Solution Engineer, Unravel Data

About this talk

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
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At Unravel, we see an urgent need to help every business understand and optimize the performance of their applications, while managing data operations with greater insight, intelligence, and automation. For these businesses, Unravel is the AI-powered data operations company. We offer novel solutions that leverage AI, machine learning, and advanced analytics to help you fully operationalize the way you drive predictable performance in your modern data applications and pipelines.