Simon Späti 🏔️

@ssp.sh

5726 Followers 1229 Following

Dad. Technical Author, Data Engineer. Data practitioner (20y) • Writing at ssp.sh since 2015. Focused on the craft of data engineering & storytelling. 📚 vault.ssp.sh • 📖 @dedp.online ❯ #dataengineering, #opensource, #writing, #obsidian, #neovim

A text editor displays a newsletter draft, featuring sections on AI, tools, personal updates, and books, with various word counts noted.
At the top of the front page of Hacker News a few days ago.
Three-week roadmap for learning data engineering, covering foundational skills, core engineering topics, and advanced portfolio building.
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curl to sign up to my newsletter, try it :)
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The diagram outlines a probabilistic agent and deterministic harness, detailing its components, functions, and validation processes.
A flowchart illustrates a data query process, contrasting outcomes with and without a correctness layer, highlighting error detection.
The image outlines three levels of AI agents in data engineering, highlighting their functions, confidence, token costs, and determinism.
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A digital interface displays a list of blog posts, highlighting "100 blog articles written" at the top, surrounded by lush greenery.
Full text search extended on ssp.sh and ssp.sh/brain
Diagrams depict four teams: Data Engineering, Data Science, Finance, and Marketing, each with distinct code locations and dependencies.
Diagram outlines best practices for organizing and deploying data orchestration, detailing stateful and stateless components.
Flowchart detailing data orchestration steps: organizing with DevOps and GitOps, and deploying with stateful and stateless components.
nice 35 degrees 😀
A detailed guide on starting with data engineering, featuring concepts, resources, an interactive graph, and helpful backlinks for learning.
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New social platform W - a social media platform made in Europe, for the world. Governed by European law.
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New Reddit #dataengineering community.
how to query the outcome.
This is how you create a simple survey, with dynamic answers and survey ID
Locally Travel, https://www.ssp.sh/brain/travel-where-you-are
frontpage on hacker news.
Before
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In the realm of data models, cardinality plays a pivotal role, referring to the uniqueness of data values within a specific column of a database table.
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A knowledge layer wraps structured data and unstructured company knowledge into one place agents can use.
Modeling for agents vs. modeling for humans: an agent only knows what the context makes explicit.
A context layer ingests your warehouse, BI tools, and docs into hard and soft semantics, then serves governed SQL to your agent.
Video recording of browsing through 101 data engineering concepts on my data engineering vault.
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