Remove Analytics Remove Efficiency Remove Entertainment
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Part 2: A Survey of Analytics Engineering Work at Netflix

The Netflix TechBlog

This article is the second 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. Content CashModeling Alex Diamond At Netflix we produce a variety of entertainment: movies, series, documentaries, stand-up specials, and more.

Analytics 190
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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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A Recap of the Data Engineering Open Forum at Netflix

The Netflix TechBlog

At Netflix, we aspire to entertain the world, and our data engineering teams play a crucial role in this mission by enabling data-driven decision-making at scale. To handle errors efficiently, Netflix developed a rule-based classifier for error classification called “Pensive.”

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Unbundling the Graph in GraphRAG

O'Reilly

The haphazard results may be entertaining, although not quite based in fact. This latter approach with node embeddings can be more robust and potentially more efficient. RAG provides a way to “ground” answers within a selected set of content. One more embellishment is to use a graph neural network (GNN) trained on the documents.

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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.

Analytics 216
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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

Mobile 299
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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.

Database 130