Sunil Mallya
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| title | conference | date |
|---|---|---|
| Serverless Data Processing and Machine Learning | LISA18 | 2018-10-29 |
A MapReduce-style pipeline uses Amazon S3 as shared storage and AWS Lambda for mappers, reducers and a coordinator, processing 420 GB (3.5 billion lines, 4,200… | ||
| Building model testing infrastructure and scaling AI predictions | Scale By the Bay 2017 | 2017-11-16 |
Describes a working serverless MapReduce using S3 and AWS Lambda with a coordinator Lambda that processes 4,200 files (424 GB, 3.54 billion lines) in about 2… | ||
| nothing matches | ||