Spark jobs require resources - and those resources? They can be pricey. If you're looking to speed up completion times, optimize costs, and reduce resource usage for your Spark jobs, this is the webinar for you.For Spark jobs running on-premises, optimizing resource usage is key.

For Spark jobs running in the cloud, for example on Amazon EMR or Databricks, adding resources is a click away - but it’s an expensive click, so cost management is critical.

Chris Santiago, Director of Solutions Engineering at Unravel Data, offers tricks and tips to help you the most from your Spark environment, on-premises or in the cloud, while reducing resource requirements and cost.

You’ll learn:

• How Unravel cuts resource requirements and costs for Spark jobs by an average of 30-40%.
• How Unravel cuts time to solve problems (MTTR) for Spark jobs by an average of 50%.
• How to auto-tune and fix jobs to speed them up, eliminate errors, and meet SLAs.
• How Unravel’s TopX reports, AutoActions, and AI-powered recommendations save you time, money, and stress.

Watch to learn how Unravel Data can help you meet SLAs for reliability and performance, cost-effectively.

Learn More About Unravel Data

Website: https://www.unraveldata.com/

Contact: https://www.unraveldata.com/contact-us/

Try Unravel for free: https://www.unraveldata.com/saas-free-trial/

LinkedIn: https://www.linkedin.com/company/unravel-data/