AWS re:Invent 2014 | (ADV303) MediaMath’s Data Revolution with Amazon Kinesis and Amazon EMR

Опубликовано 17 ноября 2014, 22:26

Collecting and processing terabytes of data per day is a challenge for any technology company. As marketers and brands become more sophisticated consumers of data, enabling granular levels of access to targeted subsets of data from outside your firewalls presents new challenges. This session discusses how to build scalable, complex, and cost-effective data processing pipelines using Amazon Kinesis, Amazon EC2 Spot Instances, Amazon EMR, and Amazon Simple Storage Service (S3). Learn how MediaMath revolutionized their data delivery platform with the help of these services to empower product teams, partners, and clients. As a result, a number of innovative products and services are delivered on top of terabytes of online user behavior. MediaMath covers their journey from legacy batch processing and vendor lock-in to a new world where the raw materials to build advanced lookalike models, optimization algorithms, or marketing attribution models are readily available to any engineering team in real time, substantially reducing the time - and cost - of innovation.