Best Practices at IHS Markit

Here is the list of best practices, guidelines, codestyles and recommendations that we follow and encourage at IHS Markit, please read the contrib guidelines before sending your pull request with your content.

If you think any information is wrong or missing please write us an email or directly create an issue inside this repo.

Content was started by forking from https://github.com/beeva/beeva-best-practices

Areas covered

Analytics

• Python
• R

Agile

• Kanban
• User Stories
• Working Agreements

Backend

• Java
• Microservices
• Node.js
• Python
• REST Services
• Ruby
• Scala

Big Data

• Best practices for Hadoop
• Hadoop Development & Best Practices
• Hadoop Management Hardware and OS
• HBase Management
• Spark Best Practices
• Amazon Redshift Best Practices

Cloud Computing

• Amazon Web Services
• Microsoft Azure
• Google Cloud Platform

DevOps

• Configuration Management
• Docker
• Infrastructure Management
• Git
• Continuous Integration

Frontend

• Angular.js
• HTML5
• Javascript
• CSS & Styling
• Frontend Tool Ecosystem
• Polymer
• Emberjs
• React Native

IT Security & Hardening

• Server Security
• Secure Development

Mobility

• Android
• iOS

NoSQL

• MongoDB

Quality Assurance

• ATDD Acceptance Test-driven Development
• Calabash
• Code Design
• Code Optimization
• Cucumber
• Sonar
• Testing techniques
• TDD, BDD and Acceptance Test
• TDD Test-driven Development

Contrib Guidelines

Please see CONTRIBUTE

Licence

Please see LICENSE.

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