Optimize Databricks Clusters Based on Cost and Performance
Optimize Databricks Clusters Based on Cost and Performance
Databricks is increasingly one of the most popular platforms to run Apache Spark, as it provides a relatively friendly interface that allows data scientists to focus on the development of the analytical workloads—and efficiently build extract load transform (ELT) type operations. The multiple options it provides, by virtue of being built on top of Apache
![](https://synccomputing.com/wp-content/uploads/2021/12/JeffChou-150x150.png)
Jeffrey Chou
10 Apr 2022
Case Study
How Duolingo reduced their EMR job cost by 55%
How Duolingo reduced their EMR job cost by 55%
Launch to the cloud based on cost and time: This article explains Sync Computing’s Spark Cluster Gradient Solution and how it was used to reduce Duolingo’s AWS EMR Spark costs by up to 55%. This solution eliminates the inefficient manual tuning and guesswork currently used when configuring Spark clusters and settings to provide the best
![](https://synccomputing.com/wp-content/uploads/2021/12/JeffChou-150x150.png)
Jeffrey Chou
06 Dec 2021
Case Study