✳flâneur — a map of the web's best reading
What I Learned From The Modern Data Stack Conference 2021 — James Le
jameskle.com · 9,955 words · saved by 1 readers
Learnings From Real-World Implementations of the Modern Data Stack
Back in September 2021, I attended the second annual Modern Data Stack Conference , Fivetran ’s community-focused event that brings together hundreds of data analysts, data engineers, and data leaders to share the impact and experiences of next-generation analytics. The presenters shared the transformations they experienced with their analytics teams, the new insights and tooling they enabled, and the best practices they employ to drive insights across their organizations. In this long-form blog recap, I will dissect content from 14 sessions that I found most useful from the conference. These
Explore this link on the map →saved by
related reading
- Introduction | The Analytics Setup Guidebookholistics.io
- How data observability fits into the different stages in the data pipeline | by Mikkel Dengsøe | Mediummedium.com
- The Great Data Debate | Futurea16z.com
- How the Community Turned Into a SaaS Commercialluminousmen.com
- Things I Wish I Knew When I Was Building a Data Team | Towards Data Sciencetowardsdatascience.com
- The Essential Guide to Enterprise DataOps | eBookrivery.io
- Business Intelligence, Semantic Layer, Modern OLAP, Data Virtualization - 📖 Patterns of Data Engineeringdedp.online
- State of Data (Jan 2026)seancai.com
- Building a Data Engineering Center of Excellence | Towards Data Sciencetowardsdatascience.com
- Contract-driven Data Platform | Andrew Jones, Modern Data 101moderndata101.substack.com
- Building a data team at a mid-stage startup: a short story · Erik Bernhardssonerikbern.com
- Modular data modeling techniques with dbt | dbt Labsgetdbt.com