Articles tagged with practices
5 Helpful Extract & Load Practices for High-Quality Raw Data — Sven Balnojan
What layer do you focus on when creating data architecture? If it’s not Raw, then this article is for you. 5 points that will save your time n future.
Concurrency is not Parallelism by Rob Pike (slides) — Rob Pike
Rob Pike is a software engineer, best known for his work on the Go programming language. Quite old but still relevant talk discussing the crucial distinctions between concurrency and parallelism. Such foundational engineering concepts are cross disciplines and I would say must-have knowledge for all engineers.
The Chaos Data-Engineering Manifesto — Shane Murray @ Towards Data Science Blog
Very vital and easy-to-read article about the adaptation of chaos engineering to meet the needs of data engineers. “Nothing acts like prod, but prod. And nothing fails like prod, but prod.”
Data engineering failure — Why is it almost impossible to meet deadlines? — Christophe Blefari.
Do you meet deadlines? Nice article about expectations and problems to meet deadlines including data engineering specific. You can find some probably obvious but useful solutions through reading this.