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Building Data Pipelines in Python
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| by Marco Bonzanini Follow 0 Followers on Mar 28, 2017 |
48:49

Summary
Marco Bonzanini discusses the process of building data pipelines, e.g. extraction, cleaning, integration, pre-processing of data; in general, all the steps necessary to prepare data for a data-driven product. In particular, he focuses on data plumbing and on the practice of going from prototype to production.

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Bio

Marco Bonzanini is Data Scientist and co-organizer of PyData London Meetup.

Software is changing the world. QCon empowers software development by facilitating the spread of knowledge and innovation in the developer community. A practitioner-driven conference, QCon is designed for technical team leads, architects, engineering directors, and project managers who influence innovation in their teams.

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