Meta如何在大规模下理解数据

Managing and understanding large-scale data ecosystems is a significant challenge for many organizations, requiring innovative solutions to efficiently safeguard user data. Meta’s vast and diverse systems make it particularly challenging to comprehend its structure, meaning, and context at scale.
管理和理解大规模数据生态系统对许多组织来说是一个重大挑战，需要创新解决方案来有效保护用户数据。Meta 的庞大和多样化系统使得在规模上理解其结构、含义和上下文特别具有挑战性。
To address these challenges, we made substantial investments in advanced data understanding technologies, as part of our Privacy Aware Infrastructure (PAI). Specifically, we have adopted a “shift-left” approach, integrating data schematization and annotations early in the product development process. We also created a universal privacy taxonomy, a standardized framework providing a common semantic vocabulary for data privacy management across Meta’s products that ensures quality data understanding and provides developers with reusable and efficient compliance tooling.
为了解决这些挑战，我们在先进的 数据理解 技术上进行了大量投资，作为我们隐私意识基础设施 (PAI) 的一部分。具体而言，我们采用了“向左转移”的方法，在产品开发过程中尽早集成数据架构和注释。我们还创建了一个 通用隐私分类法，这是一个标准化框架，为 Meta 的产品提供了一个共同的语义词汇，以确保高质量的数据理解，并为开发者提供可重用和高效的合规工具。
We discovered that a flexible and incremental approach was necessary to onboard the wide variety of systems and languages used in building Meta’s products. Additionally, continuous collaboration between privacy and product teams was essential to unlock the value of data understanding at scale.
我们发现，灵活和渐进的方法对于引入构建Meta产品所使用的各种系统和语言是必要的。此外，隐私和产品团队之间的持续协作对于在规模上释放数据理解的价值至关重要。
We embarked on the journey of understanding data across Meta a decade ago with millions of assets in scope ranging from structured and unstructured, processed by millions of flows across many of the Meta App offerings. Over the past 10 years, Meta has cataloged millions of data assets and is classifying them daily, supporting numerous privacy initiatives across our product groups. Additionally, our continuous understanding approach ensures that privacy considerations are embedded at every stage of product development.
十年前，我们开...