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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

The Netflix TechBlog

mainly because of mundane reasons related to software engineering. The infrastructure should allow them to exercise their freedom as data scientists but it should provide enough guardrails and scaffolding, so they don’t have to worry about software architecture too much. The steps can be arbitrary Python code.

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MLOps and DevOps: Why Data Makes It Different

O'Reilly

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. Software Architecture. This approach is not novel.

DevOps 138
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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

The Netflix TechBlog

mainly because of mundane reasons related to software engineering. The infrastructure should allow them to exercise their freedom as data scientists but it should provide enough guardrails and scaffolding, so they don’t have to worry about software architecture too much. The steps can be arbitrary Python code.

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A Clash of Mindsets: When New Products Depend on Existing Products

Strategic Tech

It seems unrealistic wanting the best of both world (speed and reliability) but the field of software engineering established during the past decade that speed and reliability can both be achieved. A good engineering organization moves at speed with high reliability. It doesn’t need to be a choice of one over the other.

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Uncovering Hidden Business Rules with DDD Aggregates

Strategic Tech

Defining Aggregate Boundaries Deciding that specific business operations should succeed or fail together sounds like a simple requirements gathering exercise. Evolving Your Aggregates Over Time The initial criteria on which you base your aggregate design is likely to change over time. Let’s refer to this as an Invariant Business Rule.