HeyJaredLearn Analytics Engineering
for the novice or veteran data enthusiast who wants to learn practical analytics engineering skills to apply to their every day work
- Indexed issues, last 90 days
- 9
- Latest publication
- Sep 24, 2026
- Audience
- Checking…
- Earliest in this view
- Jul 16, 2026
Latest issues
Is Data Modeling Done For? (opens the original)
Read excerpt
Thank you to Bright Data for making this post free for everyone to read.Turn web data into a data pipeline via API in minutes.Tired of maintaining data scrapers that constantly break, but still in need of production web da
Creating Context for AI Agents (opens the original)
Read excerpt
1 year ago, if you had modeled and orchestrated your data, you’d be ready to use it in production. Your data pipeline would be complete. However, because we are now building our data models for AI agents, we need to take the final product one step further. We need to package these models with context. Context lets AI agents understand the business problem being modeled and the subtle nuances that come with it, beyond what’s represented in the code. Before the business used tools like Claude to a
Claude, Can You My Orchestrate Data Model? (opens the original)
Read excerpt
Today’s newsletter is sponsored by Astronomer. Thank you for making this orchestration tutorial free for all readers! <a class="image-link image2 is-viewable-img" href="https://substackcdn.com/image/fetch/$s_!MD_C!,f_auto,q_auto:good,fl_progressiv
Goodbye, Data Engineers & Data Analysts (opens the original)
Read excerpt
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 analytics engineering team. Each of us works across the entire pipeline of our project, from configuring tasks in Snowf… Read more
Master Dimensional Data Modeling with Claude Code (opens the original)
Read excerpt
Dimensional data modeling is one of the foundational skills that every analytics engineer needs to know. However, I didn’t start my career knowing anything about this.Like most people, I started by learning modern data stack tools, looking for the best tool to solve a certain problem. While that worked at the time, I quickly realized the importance of understanding the principles outside of any tool.Now, with AI, data modeling has become even more important as it applies business context to data
Publishing over time
Last 90 days. Choose a month to open its work.
Recurring subjects
Named in the text we hold. One piece can cover several.
Audience
No verified audience measurement yet.
About this data
Counts cover the work we have indexed. Tone needs enough text and a confident classification. Excerpts and episode notes are not full articles or transcripts.
Identity or attribution wrong? Suggest a correction.