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run-a-data-team
A guide for leading a data (engineering) team
https://github.com/sbalnojan/run-a-data-team
Last synced: 5 days ago
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Leadership
- Approaches to build the right data engineering team
- 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 Demystified, Part 4: Building an efficient data team
- Building Data Engineering Teams | Datadog
- How to Build an On-Call Culture in a Data Engineering Team
- Data Science for Business - Provost & Fawcett [book, paid]
- How to Build an On-Call Culture in a Data Engineering Team
- How to Build an On-Call Culture in a Data Engineering Team
- How to Build an On-Call Culture in a Data Engineering Team
- How to Build an On-Call Culture in a Data Engineering Team
- How to Build an On-Call Culture in a Data Engineering Team
- How to Build an On-Call Culture in a Data Engineering Team
- How to Build an On-Call Culture in a Data Engineering Team
- How to Build an On-Call Culture in a Data Engineering Team
- How to Build an On-Call Culture in a Data Engineering Team
- How to Build an On-Call Culture in a Data Engineering Team
- Data Science for Business - Provost & Fawcett [book, paid]
- How to Build an On-Call Culture in a Data Engineering Team
- How to Build an On-Call Culture in a Data Engineering Team
- How to Build an On-Call Culture in a Data Engineering Team
- How to Build an On-Call Culture in a Data Engineering Team
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Comprehensive Getting Started with DE Resources
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Organising Teams
- Organizing data teams - where to make the cut
- Hello Product Data Team, Goodbye Ad Hoc Work
- Product Data Teams 101
- How should our company structure our data team?
- Building The Modern Data Team
- Data Management at Scale: Modern Data Architecture with Data Mesh and Data Fabric
- Organizing data teams - where to make the cut
- Organizing data teams - where to make the cut
- Organizing data teams - where to make the cut
- Organizing data teams - where to make the cut
- Organizing data teams - where to make the cut
- Organizing data teams - where to make the cut
- Organizing data teams - where to make the cut
- Organizing data teams - where to make the cut
- Organizing data teams - where to make the cut
- Organizing data teams - where to make the cut
- Organizing data teams - where to make the cut
- Organizing data teams - where to make the cut
- Organizing data teams - where to make the cut
- Organizing data teams - where to make the cut
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Communities/ Running Publications
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Customers
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Data Platform Engineering
- Team Topologies: Organizing Business and Technology Teams for Fast Flow
- How Mercateo is Rolling Out a Modern Data Platform
- Building a Data Platform in 2024
- Thinnest Viable Platform (TVP) Example using a Data Platform
- Building a Data Platform in 2024
- Team Topologies: Organizing Business and Technology Teams for Fast Flow
- Building a Data Platform in 2024
- Building a Data Platform in 2024
- Building a Data Platform in 2024
- Building a Data Platform in 2024
- Building a Data Platform in 2024
- Building a Data Platform in 2024
- Building a Data Platform in 2024
- Building a Data Platform in 2024
- Building a Data Platform in 2024
- Building a Data Platform in 2024
- Building a Data Platform in 2024
- Building a Data Platform in 2024
- Building a Data Platform in 2024
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Analytics
- Managing Analytics Teams With Nate Sooter
- What makes a data analyst excellent?
- What makes a data analyst excellent?
- What makes a data analyst excellent?
- What makes a data analyst excellent?
- What makes a data analyst excellent?
- What makes a data analyst excellent?
- What makes a data analyst excellent?
- What makes a data analyst excellent?
- What makes a data analyst excellent?
- What makes a data analyst excellent?
- What makes a data analyst excellent?
- What makes a data analyst excellent?
- What makes a data analyst excellent?
- What makes a data analyst excellent?
- What makes a data analyst excellent?
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Data Engineering
- 5 Ways To Ensure High Functioning Data Engineering Teams
- High-Performance Data Teams Don’t Care About Data Quality
- How The Modern Data Stack Is Reshaping Data Engineering
- Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
- Data Mesh: Delivering Data-Driven Value at Scale
- Data Mesh in Action
- Data Mesh: Delivering Data-Driven Value at Scale
- Data Mesh in Action
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Analytics Engineering
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Data Product Management
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