All Things Distributed

OCTOBER 7, 2015

We live in a world where massive volumes of data are generated from websites, connected devices and mobile apps. In such a data intensive environment, making key business decisions such as running marketing and sales campaigns, logistic planning, financial analysis and ad targeting require deriving insights from these data.

Cloud 114

Cloud Big Data AWS Analytics 114

All Things Distributed

NOVEMBER 15, 2016

When we announced QuickSight last year, we set out to help all customers—regardless of their technical skills—make sense out of their ever-growing data. They require teams of data engineers to spend months building complex data models and synthesizing the data before they can generate their first report.

Analytics 126

Analytics Availability Media Social Media 126

The Netflix TechBlog

JANUARY 11, 2022

Curious to learn more about other Data Science and Engineering functions at Netflix? To learn about Analytics and Viz Engineering, have a look at Analytics at Netflix: Who We Are and What We Do by Molly Jackman & Meghana Reddy and How Our Paths Brought Us to Data and Netflix by Julie Beckley & Chris Pham.

Innovation 245

Innovation Metrics Engineering Testing 245

The Netflix TechBlog

JANUARY 6, 2025

This article is the last in a multi-part series sharing a breadth of Analytics Engineering work at Netflix, recently presented as part of our annual internal Analytics Engineering conference. For example, people have learned that blue underlined text on a website means its a clickable link.) Need to catch up?

Analytics 202

Analytics Engineering Cache Entertainment 202