The Data Standard
In this episode of The Data Standard, host Catherine Tao talks about big data transformation in payment technologies with Bala Natarajan, Director of Engineering, Big Data Platform Engineering at Paypal.
Big Data caused disruptions across many verticals, payment technologies included. Online transaction processing systems are a go-to technology for many payment processors. These systems have evolved, and today, they interact with databases in real-time to service customers worldwide.
On the other hand, online transaction systems are extremely latency-sensitive on both the processing and user side. The legacy interfaces make it hard for developers to search data, catalog data, and look at data in a seamless fashion. Companies that heavily depend on data and have been long on the market, such as PayPal, face numerous challenges.
Choosing the best IT ecosystem, migrating data from one ecosystem to another, and enabling all internal teams to use this data are just some of the challenges that have a lot to do with Big Data. But, how exactly is big data transforming payment technologies?
Tune in with Catherine Tao and Bala Natarajan to find more about big data, how it affects payment technologies, and what the future has in store for developers and end-users.
Meet The Host
Data scientist at The Data Standard
Catherine Tao is a tech enthusiast looking for new methods for building connections with businesses around the world. Her extensive knowledge of data science allowed her to develop new solutions and implement them into existing ecosystems. She is currently working as a Data scientist and Exclusive Podcast Producer at The Data Standard.
Meet The Guest
Director of Engineering, Big Data Platform Engineering at PayPal
Bala Natarajan is a transformational leader with tenacity and passion for technology with multiple years of deep experience in scalability, availability, infrastructure, and payment technologies. He has led teams to address and deliver results on some of the hardest problems at scale. Excels in technology and organizational problems that are complex, requiring a deep understanding of systemic issues.