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Data Engineers of Netflix?—?Interview with Samuel Setegne

The Netflix TechBlog

Interview with Samuel Setegne Samuel Setegne This post is part of our “Data Engineers of Netflix” interview series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Samuel Setegne is a Senior Software Engineer on the Core Data Science and Engineering team.

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Sponsored Post: pMD, InMemory.Net, Triplebyte, Etleap, Stream, Scalyr

High Scalability

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Software engineering for machine learning: a case study

The Morning Paper

Software engineering for machine learning: a case study Amershi et al., More specifically, we’ll be looking at the results of an internal study with over 500 participants designed to figure out how product development and software engineering is changing at Microsoft with the rise of AI and ML. ICSE’19.

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Organise your engineering teams around the work by reteaming

Abhishek Tiwari

The engineering organisation described may not work for you because of a team of 8-10 people is still a very big overhead. In this model, software architecture and code ownership is a reflection of the organisational model. Is it possible to draw inspiration from outside of software engineering? Probably yes.

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Uncovering Hidden Business Rules with DDD Aggregates

Strategic Tech

In software, reacting to unforeseen circumstances in real-time is not possible. We have to specify with great precision in code exactly what our business rules are, and the computer will apply them exactly as we tell it to. Consider the scenario of an appointment scheduling system for a healthcare practice.