How to ensure consistent metrics in your warehouse
1. Introduction
If you’ve worked on a data team, you’ve likely encountered situations where multiple teams define metrics in slightly different ways,...
Similar Articles (10 found)
🔍 67.2% similar
Metrics can be incredibly powerful. But you have too many of them.
Let’s talk about how and when to use metrics.
The Golden Rule
The golden rule of me...
🔍 65.6% similar
6 Steps to Avoid Messy Data in Your Warehouse
- 1. Introduction
- 2. Six Steps for a Clean Data Warehouse
- 2.1. Understand the business
- 2.2. Make d...
🔍 61.6% similar
Hi, fellow future and current Data Leaders; Ben here 👋
Today I wanted to talk about Iceberg. I’ve been seeing a lot about it recently. Everyone wants ...
🔍 61.2% similar
Using Joins and Group Bys the right way for data warehousing
- 1. Introduction
- 2. Joins & Group bys are two of the most commonly used operations in ...
🔍 61.1% similar
Selecting the right product metrics (KPIs)
Executives want financial outcomes, strategists want systemic impact, managers want team accountability, te...
🔍 60.7% similar
How to Manage Upstream Schema Changes in Data Driven Fast Moving Company
- 1. Introduction
- 2.Strategies for data teams to handle changing schemas
- ...
🔍 60.4% similar
Stop Shipping Dashboards That Don’t Matter
Three Questions to Ask Before You Build That Dashboard
If you work in data, you’ve probably lived this stor...
🔍 60.4% similar
Data Engineering Best Practices - #1. Data flow & Code
- 1. Introduction
- 2. Sample project
- 3. Best practices
- 3.1. Use standard patterns that pro...
🔍 60.1% similar
Hi, fellow future and current Data Leaders; Ben here 👋
I recently was skimming the data engineering subreddit and came across a post with a title that...
🔍 58.4% similar
How to quickly deliver data to business users? #1. Adv Data types & Schema evolution
- 1. Introduction
- 2. Use Schema evolution & advanced data types...