Remove 2019 Remove Business Intelligence Remove Data Processing Remove Data Science
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What a quarter century of digital transformation at PayPal looks like

CIO Business Intelligence

At the lowest layer is the infrastructure, made up of databases and data lakes. These applications live on innumerable servers, yet some technology is hosted in the public cloud. User data is also housed in this layer, including profile, behavior, transactions, and risk.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

The top three items are essentially “the devil you know” for firms which want to invest in data science: data platform, integration, data prep. Data governance shows up as the fourth-most-popular kind of solution that enterprise teams were adopting or evaluating during 2019. Rinse, lather, repeat.

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Themes and Conferences per Pacoid, Episode 11

Domino Data Lab

In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated. The approach they’ve used applies to other popular data science APIs such as NumPy , Tensorflow , and so on.

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