run-a-data-team
github.com/sbalnojan/run-a-data-team ↗A guide for leading a data (engineering) team
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GitHub Stars
37
Curated Resources
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Categories
21 hours ago
Last Refreshed
LeadershipComprehensive Getting Started with DE ResourcesOrganising TeamsCommunities/ Running PublicationsCustomersData Platform EngineeringAnalyticsData EngineeringAnalytics EngineeringData Product Management
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Installation instructions →What's inside
Data Engineering
- 5 Ways To Ensure High Functioning Data Engineering Teams
- Data Mesh: Delivering Data-Driven Value at Scale
- Data Mesh in Action
- Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
- High-Performance Data Teams Don’t Care About Data Quality
- How The Modern Data Stack Is Reshaping Data Engineering
Leadership
- Approaches to build the right data engineering team
- Building Data Engineering Teams | Datadog
Datadog [free, video]
- Data Demystified, Part 4: Building an efficient data team
- Data Science for Business
Provost & Fawcett [book, paid]
- How do you build great data teams? What is the best advice or lessons you have learnt?
- How to build a modern data team: structure, skill sets, and common mistakes
Data Platform Engineering
Organising Teams
Communities/ Running Publications
Comprehensive Getting Started with DE Resources
Customers
- Product Discovery for Analytics Teams - Talking To Internal Customers
Talking To Internal Customers
Showing a sample of 37 resources. View the full list on GitHub →