Big Data Architecture: A Complete and Detailed Overview

[unable to retrieve full-text content]Data scientists may not be as educated or experienced in computer science, programming concepts, devops, site reliability engineering, non-functional requirements, software solution infrastructure, or general software architecture as compared to well-trained or experienced software architects and engineers.
Original Post: Big Data Architecture: A Complete and Detailed Overview

Top Data Scientist Daniel Tunkelang on Data Science Project Scope… and Reducing It

Respected Data Scientist Daniel Tunkelang shares some insight into problems lying at the crossroads of software engineering and data science, and prescribes one major solution: reduce scope! By Daniel Tunkelang, Data Science Consultant. When I left the cocoon of academia nearly two decades ago to become a software engineer, I quickly learned two lessons. The first was a version of…
Original Post: Top Data Scientist Daniel Tunkelang on Data Science Project Scope… and Reducing It

Connecting Data Systems and DevOps

Previous post Next post            Tweet Tags: Data Engineering, Data Science, Developers, DevOps, Software Engineering This post will explain why anyone transforming their company into a data-driven organization should care about software development best practices, even if they don’t consider themselves a software company. By Fausto Inestroza, Silicon Valley Data Science. We’ve discussed it before, but it’s worth mentioning…
Original Post: Connecting Data Systems and DevOps

Engineering Practices in Data Science

Cross-posted from blog.untrod.com Josh Wills wrote this excellent, pithy definition of a data scientist: Data Scientists (n.): Person who is better at statistics than any software engineer and better at software engineering than any statistician. It’s certainly true that software engineering and data science are two different disciplines, and for good reason – they require different skills. But as this definition…
Original post: Engineering Practices in Data Science
Source: Kaggle