Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
Rustem Feyzkhanov

Rustem Feyzkhanov
Machine Learning Engineer, Instrumental

Website

Rustem Feyzkhanov is a machine learning engineer at Instrumental, where he creates analytical models for the manufacturing industry. Rustem is passionate about serverless infrastructure (and AI deployments on it) and is the author of the course and book Serverless Deep Learning with TensorFlow and AWS Lambda.

Sessions

5:10pm–5:50pm Wednesday, March 27, 2019
Serverless workflows for orchestration hybrid cluster-based and serverless processing
Data Engineering & Architecture
 Location: 2002
Secondary topics:  AI and Data technologies in the cloud, Data Integration and Data Pipelines
Rustem Feyzkhanov (Instrumental)
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Serverless implementation of core processing is quickly becoming a production-ready solution. However, companies with existing processing pipelines may find it hard to go completely serverless. Serverless workflows unite the serverless and cluster worlds, with the benefits of both approaches. Rustem Feyzkhanov demonstrates how serverless workflows change your perception of software architecture. Read more.