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Inside Facebook’s video delivery system

Engineering at Meta

Were explaining the end-to-end systems the Facebook app leverages to deliver relevant content to people. At Facebooks scale, the systems built to support and overcome these challenges require extensive trade-off analyses, focused optimizations, and architecture built to allow our engineers to push for the same user and business outcomes.

Systems 71
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Movie Recommendation System: Definition, Strategies, Usecase

Knowledge Hut

Not only could this recommendation system save time browsing through lists of movies, it can also give more personalized results so users don’t feel overwhelmed by too many options. What are Movie Recommendation Systems? Recommender systems have two main categories: content-based & collaborative filtering.

Systems 98
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Introducing the dbt MCP Server – Bringing Structured Data to AI Workflows and Agents

dbt Developer Hub

In particular, we expect both Business Intelligence and Data Engineering will be driven by AI operating on top of the context defined in your dbt Projects. Both AI agents and business stakeholders will then operate on top of LLM-driven systems hydrated by the dbt MCP context. Why does this matter? MCP addresses this challenge.

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A Tour Around Buck2, Meta's New Build System

Tweag

Buck2 is a from-scratch rewrite of Buck , a polyglot, monorepo build system that was developed and used at Meta (Facebook), and shares a few similarities with Bazel. As you may know, the Scalable Builds Group at Tweag has a strong interest in such scalable build systems. Meta recently announced they have made Buck2 open-source.

Systems 141
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What is a Senior Software Engineer at Wise and Amazon?

The Pragmatic Engineer

Senior Engineers are not only expected to lead significant projects in their teams, but they have a say in whether that feature is worth building or not. The SDE3 level expects leadership on projects in which this engineer is involved. It’s not a checklist, but some expectations that could be considered: Lead a complex project.

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A Definitive Guide to Using BigQuery Efficiently

Towards Data Science

The storage system is using Capacitor, a proprietary columnar storage format by Google for semi-structured data and the file system underneath is Colossus, the distributed file system by Google. It is only possible to limit the bytes billed for each day per user per project or for all bytes billed combined per day for a project.

Bytes 97
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DevOps Lifecycle: Definition, Phases

Knowledge Hut

In this step, they design a project plan to optimize business impact and produce the intended result. So, whichever continuous integration solutions you choose, make sure they are compatible with your company's and project's needs. Let's take a quick look at how the DevOps lifecycle functions at each step.