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Building Data Pipelines in Python

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PyData London 2016

This talk discusses the process of building data pipelines, e.g. extraction, cleaning, integration, pre-processing of data, in general all the steps that are necessary to prepare your data for your data-driven product. In particular, the focus is on data plumbing and on the practice of going from prototype to production.

Starting from some common anti-patterns, we'll highlight the need for a workflow manager for any non-trivial project.

We'll discuss the case for Luigi as an interesting option to consider, and we'll consider where it fits in the bigger picture of deploying a data product.

Slides available here: https://speakerdeck.com/marcobonzanini/building-data-pipelines-in-python-pydata-london-2016

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