Does your big data analytics platform provide you with the Spark recommendations you need to optimize your application performance and improve your own skillset? Explore how you can use Spark recommendations to untangle the complexity of your Spark applications, reduce waste and cost, and enhance your own knowledge of Spark best practices.
Topics include:
- Avoiding contention by ensuring your Spark applications are requesting
the appropriate amount of resources,
- Preventing memory errors,
- Configuring Spark applications for optimal performance,
- Real-world examples of impactful recommendations,
- and More!
Join Product Manager Heidi Carson and Field Engineer Alex Pierce from Pepperdata to gain real-world experience with a variety of Spark recommendations, and participate in the Q and A that follows.