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23rd-26th of January 2019 / 23-26 Janvier 2019, Grenoble
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Friday, January 25 • 11:00 - 11:45
Machine learning with Spark : the road to production

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We will present a case study for the industrialization of a machine learning project with Apache Spark.
Starting from a prototype developed by a Data Scientist we will explore the unit testing problem and how BDD testing can help to build a easy to understand testing scenario.

We will then have a look at the scheduling and dependency problem and a possible solution with Azkaban.
To conclude we will talk about packaging, deployment and monitoring presenting the current solution used at Kelkoo Group.

We want to share our experience on best practices and tips when putting machine learning into production while using good coding and testing practices.

avatar for Andrea Baita

Andrea Baita

Kelkoo Group
Andrea is an experienced software engineer at Kelkoo Group, working as Big Data Engineer in the Data Science Team. He has a demonstrated history of working in the information services industry in Italy and in France as a freelance and entrepreneur. His main interests are Big Data... Read More →
avatar for André Bois-Crettez

André Bois-Crettez

Architect and Data scientist @ Kelkoo Group, Kelkoo Group
André is a data scientist at Kelkoo, with more than 15 years of development experience. Passionate about search, distributed systems, machine learning, ... and putting all that to production in a robust and agile way.

Friday January 25, 2019 11:00 - 11:45 CET
Chrome 2 + 3 + 4 La Maison Minatec, 3 Parvis Louis Néel, 38000 Grenoble