Unravel Optimize Webinar Series | Troubleshooting Databricks

Presented by

Patrick Mawyer, Senior Solutions Engineer, Unravel Data

About this talk

The popularity of Databricks is rocketing skyward, and it is now the leading multi-cloud platform for Spark and analytics workloads, offering fully managed Spark clusters in the cloud. Databricks is fast and organizations generally refactor their applications when moving them to Databricks. The result is strong performance. However, as usage of Databricks grows, so does the importance of reliability for Databricks jobs - especially big data jobs such as Spark workloads. But information you need for troubleshooting is scattered across multiple, voluminous log files. The right log files can be hard to find, and even harder to understand. There are other tools, each providing part of the picture, leaving it to you to try to assemble the jigsaw puzzle yourself. Join Patrick Mawyer, Senior Solutions Engineer at Unravel Data, on September 16th @ 10:00am PT. See how Unravel can deliver: - Enhanced observability through the use of additional sensors, placed in the JVM, plus intelligent curation and presentation of existing log and other data - End-to-end monitoring, measurement, and troubleshooting of apps using Spark and related technologies. - AI-powered recommendations and automated actions to enable pre-emptive fixes of problems with your Big Data pipelines and applications. - Detailed insights; clear, AI-powered recommendations; and user-specified AutoActions to help you make the most of your Spark environment. Don’t wait. Register today for this informative and actionable webinar.
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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.