Nemo: Data discovery at Facebook
Large-scale companies serve millions or even billions of people who depend on the services these companies provide for their everyday needs. To keep these services running and delivering meaningful experiences, the teams behind them need to find the most relevant and accurate information quickly so that they can make informed decisions and take action. Finding the right information can be hard for
DataHub: Popular metadata architectures explained
Authored byShirshanka Das Co-founder and CTO @ Acryl | Founder DataHub project | Ex-LinkedIn December 7, 2020 When I started my journey at LinkedIn ten years ago, the company was just beginning to experience extreme growth in the volume, variety, and velocity of our data. Over the next few years, my colleagues and I in LinkedIn’s data infrastructure team built out foundational technology like Espr
Review: Metadata Day 2020
For a full day on December 14, 2020, LinkedIn sponsored a virtual workshop called Metadata Day, followed by a public online meetup called Metaspeak. View videos of the event on their website including a set of lightning talks provided by several of the speakers. The gist is that circa 2018, the pending regulatory compliance for GDPR, CCPA, etc., drove urgency in enterprise organizations to have a
Data Catalogs Are Dead; Long Live Data Discovery
Image courtesy of Andrey_Kuzmin on ShutterstockAs companies increasingly leverage data to power digital products, drive decision making, and fuel innovation, understanding the health and reliability of these most critical assets is fundamental. For decades, organizations have relied on data catalogs to power data governance. But is that enough? Debashis Saha, VP of Engineering at AppZen, formerly
ドキュメントベースの型安全なモバイルアプリ行動ログ基盤の構築 - クックパッド開発者ブログ
こんにちは。PlayStation 5が一向に買えない@giginetです。普段はモバイル基盤部というところでiOSの基盤開発をしています。 皆さん、行動していますか？我々は日々Webサービス上で様々な行動をしています。サービス開発において、改善に活かすための効率的な行動ログの収集方法はしばしば課題になります。 今回は、サービス開発者がモバイルアプリ上で簡単にログを定義し、分析を行えるログ基盤を導入した事例について紹介します。 行動ログとは何か モバイルアプリの行動ログとは、ユーザーのアプリ上の操作や利用状況を取得、集積するためのものです。 例えば、特定の画面を表示したり、特定のボタンをタップしたり、といったユーザー操作を起点として送信されています。 集められたログは、サービス開発のための分析や実態把握に役立てられます。 最近はFirebase Analyticsなど、PaaSの形態で提供
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GitHub - tensorflow/model-card-toolkit: A toolkit that streamlines and automates the generation of model cards
The Rise of the Metadata Lake
An Analysis of Online Datasets Using Dataset Search (Published, in Part, as a Da
The Government Data Quality Framework
https://hpi.de/fileadmin/user_upload/fachgebiete/naumann/publications/2017/SIGMOD_2017_Tutorial_Data_Profiling.pdf
GitHub - ricardolsmendes/datacatalog-tag-manager: Python package to manage Google Cloud Data Catalog tags, loading metadata from external sources -- currently supports the CSV file format
egeria
GitHub - odpi/egeria: Egeria core
GitHub - ricardolsmendes/datacatalog-custom-model-manager: Python package to load user-specified metadata models into Google Cloud Data Catalog, comprising Custom Entries, Tag Templates, and Tags
Business Glossary Basics - DATAVERSITY
Business Glossary support in Google Data Catalog
リクルートのビッグデータ活用基盤とビッグデータ活用のためのメタデータ管理Webのご紹介
Joshua Shinavier – The Knowledge Graph Conference
Building an Enterprise Knowledge Graph at Uber: Lessons from Reality
QueryScope - SQL query visualization tool | SQLdep
