adidas/api-pm-training

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MIT License
Created almost 5 years ago
Updated over 4 years ago

adidas/api-pm-training

adidas

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Training materials to deliver an API Product Owner training. The training follows a "learning by doing" methodology with big emphasis on students solving a realistic problem for the first time with the facilitation of an instructor. The training is split in modules with each module touching upon different areas of responsibilities for an API product owner.

adidas-devops-maturity-framework

The DevOps maturity framework was created by adidas as a guide for the first DevOps cup to support the teams on their DevOps transformation journey.

api-guidelines

adidas group API design guidelines

lakehouse-engine

The Lakehouse Engine is a configuration driven Spark framework, written in Python, serving as a scalable and distributed engine for several lakehouse algorithms, data flows and utilities for Data Products.

mvi

Library for implementing MVI (Model-View-Intent) architecture in Kotlin.

adidas.github.io

adidas GitHub Portal

choicesjs-stencil

Select Web Component which wraps ChoicesJS library using StencilJS

adidas-yarn-design-system

YARN is a frontend toolkit for developing with HTML, CSS and JS with adidas style. It provides the base layout for frontend applications

htmplar

Templar is a React to HTML converter. It is created for developer friendly e-mail template development. By leveraging the component structure with React, it composes a reusable and maintainable pipeline for the projects.

coding-challenges

adidas coding challenges: solve some of them and let us know!

m3d-api

Metadata Driven Development (m3d) is a cloud and platform agnostic framework for the automated creation, management and governance of data lakes.

js-linter-configs

JavaScript, TypeScript and CSS shareable linter configurations

amdf

Advanced Material Data Format

adidas-contribution-guidelines

Guidelines to contribute in adidas projects: coding style, be a contributor and useful information

m3d-engine

M3D Engine is a Spark application for the development of scalable data transformations and ingestions in data lakes.

js-build-tools

adidas configurations for JavaScript tooling

datamesh-sharing-data-at-scale

adidas Data Mesh implementation

acictl

adidas continuous integration and deployment command line tool

mashery-toolbelt

THIS PROJECT IS DEPRECATED AND NOT MAINTAINED ANYMORE - CLI tool for Mashery API Management provisioning

s3-upload-cleaner

lakehouse-engine-docs

The Goal of this project is to provide documentation for the Lakehouse Engine framework.

safe-publish

Safe NPM package publication

veracode-cli

adidas-yarn-design-system-plugins

adidas YARN Design System plugins

analytics-specification

adidas-sac-custom-fonts

codenstripes

adidas-yarn-plugin-choicesjs-stencil

ChoicesJS Web Component plugin for adidas YARN Design System library

harborutils