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In 2026 The Data Fundamentals Matter More Than Ever
Otherwise we are headed towards a massive data mess
3 hrs ago
•
SeattleDataGuy
27
1
May 2026
If AI Can Replace Workers, Why Is It Hiring Consultants?
Last week, I noticed that Anthropic was hiring for a partner success manager.
May 26
•
SeattleDataGuy
50
4
What Leading a Data Team Actually Looks Like Right Now
Even with AI
May 14
•
SeattleDataGuy
60
1
5
April 2026
The 5 Silent Failures in Data Pipelines
How Your Pipelines Lie to You Without Throwing a Single Error
Apr 24
•
SeattleDataGuy
62
4
4
Data Pipeline Foundations - Everything You Need To Know About Data Pipelines
Hi, fellow future and current Data Leaders; Ben here 👋
Apr 18
•
SeattleDataGuy
89
1
5
Daily Tasks With Data Pipelines - Data Quality Checks And The Problem With Noisy Checks
Every morning, your team wakes up to 137 data quality alerts.
Apr 7
•
SeattleDataGuy
54
2
4
March 2026
You Will Know Nothing And Be Happy
It’s 2030, and your boss just asked you to pull data to help better segment your users and understand their behaviors.
Mar 25
•
SeattleDataGuy
77
6
6
Full Refresh vs Incremental Pipelines
Tradeoffs Every Data Team Should Know
Mar 17
•
SeattleDataGuy
71
4
6
Layer by Layer, We Built Data Systems No One Understands
How data stacks turn into fractals
Mar 2
•
SeattleDataGuy
67
4
4
February 2026
Backfills - The Necessary Evil of Data Engineering
Why backfills happen, why we hate them, and how to handle them without breaking trust
Feb 23
•
SeattleDataGuy
87
4
8
Why Data Pipelines Exist
Beyond Moving Data From Point A To B
Feb 9
•
SeattleDataGuy
77
4
9
January 2026
5 Key Predictions for the Data Industry in 2026
Hype Cycles, Rebrands, and the Messy Reality of Data
Jan 31
•
SeattleDataGuy
68
11
4
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