O'Reilly Media - Data

APRIL 11, 2018

It’s important to understand the differences between a data engineer and a data scientist. Misunderstanding or not knowing these differences are making teams fail or underperform with big data. I think some of these misconceptions come from the diagrams that are used to describe data scientists and data engineers.

Data Engineering 280

Data Engineering Engineering Data Artificial Inteligence 280

TechCrunch

DECEMBER 10, 2020

” It currently has a database of some 180,000 engineers covering around 100 or so engineering skills, including React, Node, Python, Agular, Swift, Android, Java, Rails, Golang, PHP, Vue, DevOps, machine learning, data engineering and more. It starts with an AI platform to source and vet candidates.

Engineering 325

Engineering Artificial Inteligence Lambda Machine Learning 325

Netflix Tech

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 202 A day in the life of a Netflix Engineer Dave Hahn , SRE Engineering Manager Abstract : Netflix is a large, ever-changing ecosystem serving millions of customers across the globe through cloud-based systems and a globally distributed CDN. Thursday?—?December

AWS 15

AWS Open Source Linux Engineering Management 15

Netflix Tech

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 202 A day in the life of a Netflix Engineer Dave Hahn , SRE Engineering Manager Abstract : Netflix is a large, ever-changing ecosystem serving millions of customers across the globe through cloud-based systems and a globally distributed CDN. Thursday?—?December

AWS 40

AWS Open Source Linux Off-The-Shelf 40

Netflix Tech

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 202 A day in the life of a Netflix Engineer Dave Hahn , SRE Engineering Manager Abstract : Netflix is a large, ever-changing ecosystem serving millions of customers across the globe through cloud-based systems and a globally distributed CDN. Thursday?—?December

AWS 40

AWS Open Source Linux Off-The-Shelf 40

O'Reilly Media - Ideas

JULY 28, 2020

For example, an AI product that helps a clothing manufacturer understand which materials to buy will become stale as fashions change. Unlike traditional software engineering projects, AI product managers must be heavily involved in the build process. Data Quality and Standardization. Deployment.

Marketing 145

Marketing Weak Development Team Metrics UI/UX 145