Optimizing Time to Data through Streams and Data Abstraction

Ever wonder how long it takes to get the data you need to make a decision? If you’re looking to become a data driven organization, time to data is the metric you need to start measuring and optimizing. By optimizing your time to data, you can reach new heights of productivity for your data engineering team, allowing your analytics and decision making processes to drive to answers quickly.

In this talk, I’ll walk through real life use cases to demonstrate how we use abstraction and machine learning to create “type safe” streaming data pipelines from any source to any destination.