Berlin Buzzwords 2018: Subhojit Banerjee – Deploying Large Spark Models to production #bbuzz
Channel: Plain Schwarz
Date: 14/06/2018

Subhojit Banerjee talking about "Deploying Large Spark Models to production and model scoring in near real time".

1. How does one build a pyspark model and deploy it in a scala pipeline with no code rewrite - Solving the greatest fights between data scientist who want to code in python and data engineers who like the tried and tested type safety of the JVM.
2. How does one beat the spark context latency to serve spark models in milliseconds to handle near realtime business needs
3. How does one build a ML model, zip it up and deploy it across platforms in a completely vendor neutral way i.e. build your model on AWS and deploy it on GCP or vice-versa.
4. How does one leverage the years of efforts spent in software engineering and use it directly in building data science pipelines without reinventing the wheel and pain.
5. How does on build a completely GDPR compliant machine learning model with 0.88 on the ROC curve.

Read more:
https://2018.berlinbuzzwords.de/18/session/deploying-large-spark-models-production-and-model-scoring-near-real-time

About Subhojit Banerjee:
https://2018.berlinbuzzwords.de/users/subhojit-banerjee

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