Unravel "Optimize" Webinar Series | Accelerate Performance for Spark

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Presented by

Mike Wong, Solutions Engineer, Unravel Data

About this talk

Are you looking for a radically simple way to monitor, troubleshoot, and optimize Spark performance and reliability for Apache Spark? If so, then this webinar is for you. Join Mike Wong, Solutions Engineer at Unravel Data as he offers tricks and tips invaluable to getting the most from your Sparks environment – on-premises or in the cloud. Learn how Unravel Data’s built-in AI engine provides insights, recommendations, and auto-tuning for Spark applications and pipelines. You’ll benefit from: - Automated root cause analysis (RCA) for failures and delays, with detailed explanations telling you what happened and why. - Recommendations and tweaks to get your Spark jobs running at optimal levels. - Auto-tuning and fixes to speed up jobs, get rid of errors, and guarantee SLAs are met. - Using Unravel to screen jobs before putting them into production, so your job is optimized, efficient, and reliable from Day 1. - Insights into misconfiguration, parallelism, partitioning, garbage collection, RDD caching, resource contention, container resource utilization, and more. Register today for this informative and actionable webinar, the first of the series.

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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.