This is a set of resources on analytics and data engineering teams. Focuses more architectural and organizational issues than technical tooling.
- Introducing the New ABCs of Data - September 2020
- Data Engineering Cookbook: Mastering the Plumpbing of Data Science - May 2019 by Andreas Kretz
- Data Engineering Teams: Creating Successful Big Data Teams & Products - Jesse Anderson
- Building Analytics Teams - 2020 by John K. Thompson.
- Essential Resources for Data Engineers
- Towards Data Science - less engineering/analytics and more data science but still some good episodes
- Data Sceptic
- The Experiencing Data Podcast
- Data Engineering Podcast
- Data Engineering Weekly
- Data Engineering in 3 Hours
- Managing Data Science as Products
- A step-by-step guide to becoming a Data Product Manager - September 2020
- Designing Data Products from a Customer Viewpoint - February 2020
- How to Build Great Data Products - Octover 2018, HBR
- Designing Data Products: The 15 faces of Data Products are a little bit different.
- The Dynamics of Data Roles & Teams - November 2018 by Deepesh Nair
- Establish a Center of Excellence - Microsoft Power BI
- Analytics at Netflix: Who We Are and What We Do
- Roles in a Data Team
- What Skills Does a Data Engineer Need? - April 2021
- Team structure for Successful BI/Data Warehouse/Assisted Intelligence and Machine Learning - April 2020 by Geoff Leigh
- Designing the data team - January 2020 by Helen Anderson
- Data engineering needs to be specialized — here’s how we did it - November 2019 by André Casimiro
- How we scaled our data team from 1 to 30 people (part 1) - November 2019 by Dimitri Masin
- How should I structure my data team? A look inside HubSpot, Away, M.M. LaFleur, and more - October 2019 by Erin Vaughan and Janessa Lantz
- What is a Productive Data Engineering Team - April 2017 by Jesse Anderson
- How to Organize Your Analytics Team by Erik Jones
- Advanced Analytics - How to Build a Team in 6 Steps
- How to build a data science methodology that works for your team
- Organizing Data Teams — Where to Make The Cut
- Analytics Engineering at Spotify
- How should our company structure our data team?
- The Distributed Data Mesh as a Solution to Centralized Data Monoliths - January 2020
- How to Move Beyond a Monolithic Data Lake to a Distributed Data Mesh
- What is a Data Mesh — and How Not to Mesh it Up - July 2020
- OpenDAL - a unified data access layer, empowering users to seamlessly and efficiently retrieve data from diverse storage services. Our goal is to deliver a comprehensive solution for any languages, methods, integrations, and services.