Celtra adopted Databricks as the centralized analytics platform to address speed and ease-of-use concerns, improve product design, troubleshoot quickly, and fine-tune the performance of production systems:
- Increased the amount of ad-hoc analysis done six-fold, leading to better informed product design and quicker issue detection and resolution.
- Reduced the load on the analytics engineering team by expanding access to the number of people able to work with the data directly by a factor of four.
- Increased collaboration and improved reproducibility and repeatability of analyses.
- Reduced the cost of cloud infrastructure through faster and easier management of Apache® Spark™ clusters.