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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. Bazel recording steps: 1.

Systems 138
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Supporting Diverse ML Systems at Netflix

Netflix Tech

The Machine Learning Platform (MLP) team at Netflix provides an entire ecosystem of tools around Metaflow , an open source machine learning infrastructure framework we started, to empower data scientists and machine learning practitioners to build and manage a variety of ML systems.

Systems 90
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How Systems Thinking Can Be Applied To Agile Transformations

Knowledge Hut

Applying systems thinking views a system as a set of interconnected and interdependent components defined by its limits and more than the sum of their parts (subsystems). When one component of a system is altered, the effects frequently spread across the entire system. are the main objectives of systems thinking.

Systems 98
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Benefits and Evolution of Project Management Methodologies

Knowledge Hut

Over several decades, projects have been initiated or undertaken due to market demands, business needs, at the behest of customer request, technological advancements and to comply with regulatory requirements. We will look at some of the key project management methods followed in today’s world. Know more about the project description.

Project 98
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Building A System Of Record For Your Organization's Data Ecosystem At Metaphor

Data Engineering Podcast

Summary Building a well managed data ecosystem for your organization requires a holistic view of all of the producers, consumers, and processors of information. The team at Metaphor are building a fully connected metadata layer to provide both technical and social intelligence about your data. No more scripts, just SQL.

Systems 100
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How to design a dbt model from scratch

Towards Data Science

A simple framework for building dbt models that actually get used. When I was researching the Ultimate Guide to dbt , I was shocked by the lack of material around actually building models from scratch. I mean how do you know the right design? Image Source: This work by the Design Council is licensed under a CC BY 4.0

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Building A Data Mesh Platform At PayPal

Data Engineering Podcast

Jean-Georges Perrin was tasked with designing a new data platform implementation at PayPal and wound up building a data mesh. It's supposed to make building smarter, faster, and more flexible data infrastructures a breeze. What are the core problems that you were addressing with this project? We feel your pain.

Building 147