Big Estimates with Graph Theory
Data
• October 2022
Big Estimates with Graph Theory
About
Big Estimates with Graph Theory
About
Fast companies build cross-functional teams that build great products. Faster company's build platforms that enable those teams to deliver greater products faster. But what might that platform look like? Can we see it early in a way that everyone can understand? How big is it? How long will it take?
JB talks about an innovative approach at creating accurate long range estimates for a large data platform at the biggest Education-Tech company in Europe using graph theory to model the future architecture without designing anything up front.
Language
English
Level
Intermediate
Length
34 minutes
Type
About the speaker
About the speaker
James Brown
Lead Consultant Developer •
ThoughtWorks
JB is a Tech Lead at ThoughtWorks. He has spent 16 years in the sports data world working with big, fast, critical microservice ecosystems. A keen microservice advocate he is looking forward to helping companies release the potential of their digital platforms by embracing the small and chatty.
Throughout his career in software, aided by heroic colleagues he has navigated the minefield of failure and occasionally stumbled on a tale of success. Weeding out the sources of failure and cultivating those that breed success, he hopes to tell his tales and make the world a better place.
Details
Language
English
Level
Intermediate
Length
34 minutes
Type