Data Espresso
Mahdi KarabibenData engineering updates and commentary to accompany your afternoon espresso.
| Platform |  | Pricing | Only free issues | Publishes | Infrequently |
|---|---|---|---|---|---|
| Issues | 26 | Founded | 4 years ago | Last Issue | 5 months ago |
| Active | |||||
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dataespresso.substack.comLatest Issues
☕ #13: The Semantic Layer Renaissance, The Death of the “Shopping List” Architecture, and The Big/Small Metadata Question
Hello data friends,
We meet again after a long(-ish) break, mainly due to a busy few months on both the personal and professional sides. As you might’ve noticed if we’re connected on LinkedIn, I left my role at Sifflet and joined Neo4j to...
Espresso #12: Data modeling for data products, a Spotify Wrapped for everything, and building things that matter
Hello data friends,
This month, we’re diving into the big comeback of data modeling (and how to adapt it to today’s data-product-driven world), the data product we all need (analytics and insights combining data from all the apps we use),...
Espresso #11: AI as a "last-mile" enabler, dbt Fusion engine, and navigating the thin layer between fact and BS
Hello data friends,
This month, we’re diving into how AI is finally democratizing the Data Platform’s “last-mile” layer, dbt’s new Fusion Engine, and why a healthy dose of skepticism is always needed when it comes to data. So, without furt...
Espresso #10: A new ice(berg) age, revisiting old designs, and thriving on constraints
Hello data friends,
This month, we’re diving into the inevitable Apache Iceberg era, the often-overlooked benefits of frequently revisiting design decisions, and the upsides of working in constraint-heavy environments. So, without further...
Espresso #9: Real-time analytics' big moment and managing fewer data layers
Hello data friends,
This month, we’re diving into how (and why) streaming is becoming more accessible in the data space and the fate of the data platform’s raw/bronze layer. So, without further ado, let’s talk data engineering while the es...
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Product @Neo4j - I write about data engineering, analytics, and the intersection of data and product.
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