One of the best parts of the job is seeing Gradient working at scale for customers. Here's a screen shot of gradient optimizing hundreds of Databricks jobs for a single user. In a single day we see hundreds of thousands of dollars being wiped out from a user's potential annual Databricks + cloud spend. It's crazy. The best part is - the algorithm isn't even done yet. More savings are coming. Managing and optimizing jobs to lower costs and hitting SLAs used to be a manual and undesirable task for many data engineers. Gradient's AI automates all of this away so engineers can focus on building new pipelines and managers can stay happy with the efficiency. Sync Computing https://lnkd.in/gxH4eRcp
Accelerate Spark with Speedata
2 周Amazing results Jeff Chou and Sync Computing team!!!