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From Prototyping to Deployment at Scale with R and sparklyr (Kevin Kuo)

1,088 views · Published 24 September 2018 · 27:06 · Indexed 12 November 2026

Channel: Databricks · 2018 · Science & Technology

Kevin is a software engineer at RStudio building open source tools for machine learning model development and deployment.

For real-time scoring, an R interface to MLeap, an open source engine for serializing and serving Spark ML models, is provided. These functionalities faciliate collaboration among data scientists and implementation engineers and shorten time to production. We discuss the mechanics of sparklyr ML pipelines and demonstrate an end-to-end example.

To learn more: https://databricks.com/product/getting-started-guide
About: Databricks provides a unified data analytics platform, powered by Apache Spark™, that accelerates innovation by unifying data science, engineering and business.
Read more here: https://databricks.com/product/unified-data-analytics-platform

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From Prototyping to Deployment at Scale with R and sparklyr (Kevin Kuo)

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