Abstract: 

Today accessing the fastest and freshest data at scale to support advanced analytics, machine learning, and AI requires expensive, complex physical infrastructure and dedicated resources to preprocess data for every use case. This rigid approach creates dependencies, redundancies, and extensive operational costs. In this talk, we’ll walk through the requirements of delivering real-time analytics at scale, the workarounds practitioners are forced to make in order to achieve them, and a new feature-oriented data format that enables you to deliver real-time data at scale without making costly concessions.

Bio: 

An experienced product manager with a demonstrated history of providing valuable products and services in the big data and AI/ML industry, Denis currently serves as a Technical Product Manager for Molecula. Denis is driven to empower organizations with easier-to-use data products and to make cutting-edge advancements accessible to more people. He has a strong engineering background that informs his work. He most recently worked as a Senior Solutions Architect at Cloudera, and has previous experience at IBM, Microsoft, and Boeing.