Big Data, Fast Data @ PayPal
YOW! 2018 Brisbane
PayPal processes more than $1B in payments every day, is an accepted method of payment in over 200 countries, and covers everything in the online payments ecosystem from issuing credit and debit cards, to supporting credit card & POS processing, facilitating checkout at online merchants, and making it easy for friends to split a dinner bill or resolve shared expenses. All of this convenience comes with the added security of some of the most advanced fraud prevention algorithms powered by huge repositories of data. Given the vast ecosystem that PayPal has been playing in over the past 20 years, PayPal has collected large amounts of payment transaction and contextual data relating to consumers, merchants, and products -- over 150PB of data to be precise. How does PayPal manage this massive amount of data while all the while extracting useful insights that can propel the business ever forward? Come to this talk to find out!
Sid Anand currently serves as the Chief Architect for Datazoom. Prior to joining Datazoom, Sid served as PayPal's Chief Data Engineer, focusing on ways to realize the value of data. Prior to joining PayPal, he held several positions including Agari's Data Architect, a Technical Lead in Search @ LinkedIn, Netflix’s Cloud Data Architect, Etsy’s VP of Engineering, and several technical roles at eBay. Sid earned his BS and MS degrees in CS from Cornell University, where he focused on Distributed Systems. Outside of work, Sid is a maintainer/committer on Apache Airflow and advises a series of conferences (QCon, Data Council, and various conferences under Skills Matter).