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The Road to Exceptional Data Correctness
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ABOUT THE TALK:
In this lightning talk, Emma Tang shares learnings from Stripe’s early efforts to tackle data correctness. As a financial technology company, data correctness is paramount to the operation of the company. This low tolerance for data inaccuracy poses unique constraints to how infrastructure is designed. Emma shares strategies as well as the trade-offs made in order to achieve this high level of correctness.
ABOUT THE SPEAKER:
Emma Tang led Big Data Infrastructure at Stripe helping the company build and scale data infrastructure systems to support the 14x revenue growth and 6x headcount growth during her time there.
ABOUT DATA COUNCIL:
Make sure to subscribe to our channel for the most up-to-date talks from technical professionals on data related topics including data infrastructure, data engineering, ML systems, analytics and AI from top startups and tech companies.
FOLLOW DATA COUNCIL:
In this lightning talk, Emma Tang shares learnings from Stripe’s early efforts to tackle data correctness. As a financial technology company, data correctness is paramount to the operation of the company. This low tolerance for data inaccuracy poses unique constraints to how infrastructure is designed. Emma shares strategies as well as the trade-offs made in order to achieve this high level of correctness.
ABOUT THE SPEAKER:
Emma Tang led Big Data Infrastructure at Stripe helping the company build and scale data infrastructure systems to support the 14x revenue growth and 6x headcount growth during her time there.
ABOUT DATA COUNCIL:
Make sure to subscribe to our channel for the most up-to-date talks from technical professionals on data related topics including data infrastructure, data engineering, ML systems, analytics and AI from top startups and tech companies.
FOLLOW DATA COUNCIL: