Data Engineering Processing Software Architecture 
O'Reilly
FEBRUARY 18, 2020
This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. Software architecture, infrastructure, and operations are each changing rapidly. Trends in software architecture, infrastructure, and operations.
O'Reilly
MARCH 2, 2020
When a project is going off track because some requirement wasn’t understood properly, you need to fix that as soon as possible—not after a year-long development process. When processes change, who wins, who loses, and why? Software architecture, infrastructure, and operations are each changing rapidly.
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O'Reilly
FEBRUARY 2, 2020
A model isn’t source code, and it isn’t data; it’s an artifact built from the two. Given source code and the training data, you could re-produce a model, but it almost certainly wouldn’t be the same because of randomization in the training process. Models almost certainly react to incoming data; that’s their point.
Abhishek Tiwari
JULY 20, 2019
Specialisation could be around products, business process, or technologies. One way to create a Spotify model inspired engineering organisation is to organise long-lived squads by retail business process hubs - i.e. specialisation around business process. Let's take an example of retail as a domain of interest.
O'Reilly
NOVEMBER 26, 2024
Entirely new paradigms rise quickly: cloud computing, data engineering, machine learning engineering, mobile development, and large language models. To further complicate things, topics like cloud computing, software operations, and even AI don’t fit nicely within a university IT department.
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