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My (Seemingly) Random Walk to Netflix

The Netflix TechBlog

Part of our series on who works in Analytics at Netflix?—?and That person grew up dreaming of working in the entertainment industry. Upon graduation, they received an offer from Netflix to become an analytics engineer, and pursue their lifelong dream of orchestrating the beautiful synergy of analytics and entertainment.

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DBaaS vs Self-Managed Cloud Databases

Scalegrid

ScaleGrid’s comprehensive solutions provide automated efficiency and cost reduction while offering tailored features such as predictive analytics for businesses of all sizes. This automation of processes allows more time dedicated to fulfilling core tasks efficiently without any extra effort required on your part.

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Dynatrace RUM expands coverage for modern mobile UI frameworks

Dynatrace

We use mobile apps to communicate, entertain us, conduct business, shop, and much more—on the go, anytime and anywhere. With the introduction of Jetpack Compose and SwiftUI , the development of mobile apps has become more accessible, efficient, and streamlined. As people typically spend 4.8

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A Day in the Life of an Experimentation and Causal Inference Scientist @ Netflix

The Netflix TechBlog

Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group. We talked to scientists from areas like Payments & Partnerships, Content & Marketing Analytics Research, Content Valuation, Customer Service, Product Innovation, and Studio Production.

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Experimentation is a major focus of Data Science across Netflix

The Netflix TechBlog

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. Growth Advertising At Netflix, we want to entertain the world !