Artifacts of the EKGF Data Product Workgroup (DPROD)

A platform to manage the data product life cycle

⚛️ React.js components 💯% compatible with 🪐 Jupyter https://jupyter-ui-storybook.datalayer.tech

A Git-like Version Control File System for Datasets Management in the Era of AI.

DS portfolio websites + blog made easily in Hugo

A Machine Learning Product for Understanding the Macroeconomic Environment

Playground site for creating/validating data contracts

The Data Product Descriptor Specification (DPDS) Repository

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 Template to help document Data Products

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