Webinar

How to Run Spark in Production Reliably

Wednesday, September 20, 2017 | 10 AM PDT / 1PM EDT

From data transformation and SQL applications to real-time streaming applications and data pipelines powered by AI and machine learning, Spark has made it easier than ever to create big data applications.

However, moving these applications into production and running them in production continuously and reliably is challenging.

In this webinar, you will learn how you can simplify your Spark application development and operations management with Unravel using:
  • Automatic recommendations to make Spark applications faster and resource efficient
  • Automatic root cause analysis for Spark failures and unpredictable performance
  • Proactive alerting and remediation for runaway Spark applications that cause cluster problems
Speaker
Dr. Shivnath Babu
Co-founder / CTO at Unravel &
Associate Professor at Duke University
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Join us for a 45-min webinar
Register Now

Are you running or planning to run Spark in production?

From data transformation and SQL applications to real-time streaming applications and data pipelines powered by AI and machine learning, Spark has made it easier than ever to create big data applications.

However, moving these applications into production and running them in production continuously and reliably is challenging.

In this webinar, you will learn how you can simplify your Spark application development and operations management with Unravel using: