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November 2023
From Data Modeling to MLOps For LLMS: Lessons from the DEML Summit
With Links To All The Talks!
 • 
SeattleDataGuy
3
Normalization Vs Denormalization - Taking A Step Back
Denormalization and normalization are core ideas you should know about if you are a software or data engineer. If you touch a database, whether it’s for…
 • 
SeattleDataGuy
2
6 Habits Of High-Performing Teams
With Phil Dakin, an ex-Tech Lead from Citadel Securities
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SeattleDataGuy
1
7 Essential Templates for Data Analytics Consulting
Proposals, Sales And More
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SeattleDataGuy
3
October 2023
Navigating Your First 90 Days in a Data Job: A Comprehensive Guide
Checklist included
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SeattleDataGuy
2
From Day One to 100: The Seattle Data Guy Journey in One Special Issue
This is my 100th newsletter(at least since I started adding the “day” notation at the bottom of each newsletter). Since starting, the newsletter has…
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SeattleDataGuy
How And Why We Need To Implement Data Quality Now!
With Examples
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SeattleDataGuy
Behind the Rust Hype: What Every Data Engineer Needs to Know
Rust, Rust, Rust. It’s truly amazing how this language feels like it has taken the Data Engineering community by storm. It’s the cool new and shiny toy…
 • 
SeattleDataGuy
 and 
Daniel Beach
2
September 2023
Elevating Your Data Team: From Service Providers to Strategic Partners
It’s that time of year again. When CEOs, directors, and data teams start looking to plan out the following year. It’s time to start putting together…
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SeattleDataGuy
1
Mistakes I Have Seen When Data Teams Deploy Airflow
What You Should Consider When Working With Airflow
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SeattleDataGuy
2
The Challenges You Will Face When Data Modeling
How To Data Model For Analytics
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SeattleDataGuy
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