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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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End-to-end observability provides deep insights into user behavior for British Columbia Lottery Corporation

Dynatrace

People now depend on digital experiences for access to goods, services, and entertainment. As such, the corporation’s mission is to deliver exceptional—and healthy—gambling entertainment experiences. Business Insights is a managed offering built on top of Dynatrace’s digital experience and business analytics tools.

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Business observability and the travel and hospitality industry: a key to successful recovery

Dynatrace

The importance of factors such as price, safety, convenience, change fees, loyalty points, entertainment – the list can be very long – varies from one customer to the next, and may even change from visit to visit. View our on-demand Power Demo: Dynatrace and Business Observability: Tying IT Metrics to Business Outcomes.

Airlines 264
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Business observability and the travel and hospitality industry: a key to successful recovery

Dynatrace

The importance of factors such as price, safety, convenience, change fees, loyalty points, entertainment – the list can be very long – varies from one customer to the next, and may even change from visit to visit. View our on-demand Power Demo: Dynatrace and Business Observability: Tying IT Metrics to Business Outcomes.

Airlines 246
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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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Unbundling the Graph in GraphRAG

O'Reilly

The haphazard results may be entertaining, although not quite based in fact. While RAG leverages nearest neighbor metrics based on the relative similarity of texts, graphs allow for better recall of less intuitive connections. RAG provides a way to “ground” answers within a selected set of content.

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Why Traditional Monitoring Isn’t Enough for Modern Web Applications

Dotcom-Montior

Users who rely on the websites for their fundamental needs or entertainment will not tolerate even a few seconds delay. There are certain metrics to be considered for a user to have a hassle-free experience. Every element like text, navigation, headers, graphics, contact options, analytics, footers, contributes to the page load time.