
for the novice or veteran data enthusiast who wants to learn practical analytics engineering skills to apply to their every day work
| Platform | Pricing | Freemium | Publishes | Weekly | |
|---|---|---|---|---|---|
| Issues | 222 | Founded | 5 years ago | Last Issue | 46 hours ago |
| Active | |||||

Up until my current role, I’ve always worked on data teams of people with various skill sets. Usually there is a data engineer, a few data analysts, a manager, and an analytics engineer.
In my current role, the data team is a full-stack an...
#3: Data Pipeline Summer: The steps to building a data model and using AI to execute on it
Dimensional data modeling is one of the foundational skills that every analytics engineer needs to know. However, I didn’t start my career knowing a...
#2: Data Pipeline Summer: Best practices for access, PII data, and connecting MCPs
Data warehouses are the source of truth of any modern data stack. It is where the data is stored and queried, making it one of the most important components...
Welcome to the first email of this 5-week series, Data Pipeline Summer! In the next 5 weeks, we will learn how to build a data pipeline from start to finish, using some of the most popular open-source data tools.
By the end of the challeng...
6 prompts I used to catch my mistakes and write a data model that aligns with the business every time
There’s nothing more exciting in an analytics engineer’s work than planning and building a data model from scratch. It’s one of the best...
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The writers behind this newsletter.
analytics engineer and technical writer; making data easy to understand and accessible to anyone! passions include nutrition, fitness, reading, & sewing
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