Why data lineage workflows break with scale and how to fix it
Petr Janda 5/9/2023
How asset sprawl in large data teams makes onboarding, development, monitoring and self-serve harder
Mikkel Dengsøe 5/4/2023
What the number of data and product people relative to engineers can tell us about how top tech scaleups operate
Mikkel Dengsøe 4/13/2023
Practical steps for managing incidents in data teams for faster resolution, better transparency and less hassle
Mikkel Dengsøe 4/6/2023
The difficulty of building alerting workflows fit for scale
Mikkel Dengsøe 3/20/2023
Four improvements to your dbt workflows to build reliable data for scaling data teams
Mikkel Dengsøe 3/1/2023
A pay benchmark for data analysts, data scientists, analytics engineers and data engineers across hundreds of companies
Mikkel Dengsøe 2/16/2023
10 practical steps from top data teams
Mikkel Dengsøe 2/7/2023
Things to consider when setting severity levels, how to act based on different severity levels and simple steps to getting started
Mikkel Dengsøe 1/20/2023
What to consider before defining ownership, how to manage ownership of upstream and downstream teams and a few simple steps to getting started
Mikkel Dengsøe 1/15/2023
Fintech startups have multiple times the amount of critical metrics and data systems making the stakes higher than anywhere else.
Mikkel Dengsøe 1/12/2023
What’s the right ratio of data roles in scaleups and why it should probably be higher than you think.
Mikkel Dengsøe 1/10/2023
Synq helps data-forward companies build reliable data.