Remove building-real-time-streaming-etl-pipeline-20-minutes
article thumbnail

Lyft’s Reinforcement Learning Platform

Lyft Engineering

It then chooses the better performing actions for a state while maintaining some level of exploration to detect changes over time. More typically, we perform batch updates anywhere from every 10 minutes to 24 hours. It recommends different news article categories to a user based on the time of day and changing preferences over time.

article thumbnail

61 Data Observability Use Cases From Real Data Teams

Monte Carlo

In less than three years it has gone from an idea sketched out in a Barr Moses blog post to climbing the Gartner Hype Cycle for Emerging Technology. To help clarify, we reviewed hundreds of data observability deployments to identify 61 real data observability use cases and benefits. Profile Data Save Time 18. Validate Data 17.

Data 52
article thumbnail

61 Data Observability Use Cases That Aren’t Totally Made Up

Monte Carlo

In less than three years it has gone from an idea sketched out in a Barr Moses blog post to climbing the Gartner Hype Cycle for Emerging Technology. To help clarify, we reviewed hundreds of data observability deployments to identify 61 real data observability use cases and benefits. Profile data Save Time 18. Validate data 17.