Real-Time CDC and Data Quality at Scale Washes Out Money Laundering

Real-Time CDC and Data Quality at Scale Washes Out Money Laundering

Wednesday, June 20
2:00 PM - 2:40 PM
Executive Ballroom 210D/H

Fraud prevention and anti-money laundering are tough use cases to tackle. They become even more
difficult when data originates from various sources, not complete or correct, or even it’s not kept fresh.
Some likely problems include:
 Simply getting datasets ready to analyze
 Resolving fuzzy duplicates. Is Robert Smith the same as Dr. Bob Smith?
 Strict security requirements
 The need for real-time change data capture from various sources to Hadoop, Cloud and Kafka
 The need to track data back to the source, and trust in the algorithm’s conclusions
To make this work, machine learning models need the data in the right format, but data quality
processes at Hadoop cluster scale are no picnic.
And, the moment that model gets put into practice, the data will be out of date, so you’ll need a way to
keep the cluster in sync with transactional source systems in real-time. Shouldn’t be too hard, right?

SPEAKERS

Tendü Yoğurtçu, PhD
Chief Technology Officer
Syncsort
Tendü Yoğurtçu, Ph.D., is Syncsort’s Chief Technology Officer (CTO). She has 20+ years of software industry experience, including extensive Big Data and Hadoop industry knowledge. As CTO, Tendu directs the company’s technology strategy and innovation, leading all product research and development programs. Prior to her CTO role, Tendü has served as Syncsort’s General Manager of Big Data, leading the global software business for Data Integration, Hadoop and Cloud, including sales, marketing, engineering and support. Tendu has held several engineering management roles where she directed the development of ETL, Sort, and Application Modernization products for Syncsort’s Data Integration business. She also was an Adjunct Faculty Member at the Computer Science Department at Stevens Institute of Technology. Tendü is a dedicated advocate for STEM education for women and diversity. Tendü received her PhD in Computer Science from Stevens Institute of Technology, NJ, a Master’s degree in Industrial Engineering, and a Bachelor’s degree in Computer Engineering from Bosphorus University, Istanbul.