Simplify Spark application performance issue resolution and operations
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.
- How to make Spark applications faster and resource efficient
- How to analyze Spark failures and unpredictable performance, then resolve those issues automatically
- How to guarantee Spark application reliability, improve MTTR, and reduce costs