Artifacts of the EKGF Data Product Workgroup
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Updated
Sep 27, 2024 - HTML
Artifacts of the EKGF Data Product Workgroup
A Git-like version control file system for data lineage & data collaboration.
Playground site for creating/validating data contracts
The Data Product Descriptor Specification (DPDS) Repository
⚛️ React.js components 💯% compatible with 🪐 Jupyter - Storybook on https://jupyter-ui-storybook.datalayer.tech
A platform to manage the data product life cycle
DS portfolio websites + blog made easily in Hugo
Curso del Instituto de Data Science UDD sobre Desarrollo de Productos de Datos
The Data Store API Specification Repository
Repo for the case study: Collider Bias - The Hairdresser Example
Repository designed for the course "Design Thinking and Predictive Analytics for Data Products" at the University of California San Diego.
A framework to create powerful and flexible data products combining automation, analytics, and AI using Notebook templates.
Template to deploy a Data Product for data stream processing into a Data Landing Zone of the Data Management & Analytics Scenario (former Enterprise-Scale Analytics). The Data Product template can be used by cross-functional teams to ingest, provide and create new data assets within the platform.
Template to deploy a Data Product for analytics and data science use-cases into a Data Landing Zone of the Data Management & Analytics Scenario (former Enterprise-Scale Analytics). The Data Product template can be used by cross-functional teams to create insights and products for external users.
Template to deploy a Data Product for Batch data processing into a Data Landing Zone of the Data Management & Analytics Scenario (former Enterprise-Scale Analytics). The Data Product template can be used by cross-functional teams to ingest, provide and create new data assets within the platform.
Repo for the case study: d-separation
Repo for the case study: Causal Baseball - The Case of Reach on Error
A Machine Learning Product for Understanding the Macroeconomic Environment
Contiene la presentación del proyecto de datos realizado a propósito de la materia "Data Product Architecture": 1) Producto de datos funcional: Video de corrida final del producto de datos; 2) Presentación de "front"; 3) Entrega de documento final en repositorio; 4) Último commit del proyecto
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