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  1. DuckDB

    DuckDB is an in-process SQL OLAP database management system.

  2. Microsoft Fabric

    New announcement 2023-05-23 about the single place of MS; it’s like a Databricks replica, except for the tools in Azure without needing to go into Azure (see more below).

  3. Retrieval-Augmented Generation (RAG)

    Retrieval-augmented generation is a technique that can provide more accurate results to queries than a generative large language model on its own because RAG uses knowledge external to data already contained in the Large Language Models (LLMs). vector dat…

  4. BI Tools

    Tools of Business Intelligence, there are many. # Tools Here a none complete list: Apache Superset: Open-source data exploration platform born at Airbnb, connects to any SQL speaking engine with 40+ visualization types and petabyte-scale query capabilitie…

  5. Semantic Layer

    A Semantic Layer acts as an intermediary, translating complex data into understandable business concepts for users.

  6. Semantic Layer Measure Definition Examples

    This list showcases different Semantic Layer definitions and examples. # Example YAML Definitions # Cube Example from Cube with SQL Expressions: 1 2 3 4 5 6 7 8 9 10 11 12 13 cubes: - name: orders sql_table: orders measures: -…

  7. Open-Source Data Engineering Projects (2022-2026)

    A curated list of many open-source data engineering projects collected over the years.

  8. Data Engineering Acquisitions (2022-2026)

    Consolidation in the Data Engineering market is happening quickly.

  9. Keep AI Out of Your (Obsidian) Vault

    Everyone is using Obsidian for AI, or wants to use it to become more productive.

  10. Are We Reinventing the Tools of Data Engineering for AI?

    With data engineering and 15 years of building Data Orchestration tools like Airflow, Dagster, Prefect, and Kestra, we are now doing the same for AI agents.

  11. Why Have Your Website (and not Medium, LinkedIn, Substack, ...)

    I’m saying this repeatedly: have your own website and domain.

  12. The Hype Cycles of AI

    The cycle of hype terms is going strong: chatting, plan mode, tokenmaxxing, loop engineering, harnesses, graphs, orbs, and terms will continue ^8063d8 Others that nobody talks about anymore are: Moltbot/OpenClaw ^ee800e In similar terms, we also, or still…

  13. Are We Reinventing the Tools of Data Engineering for AI?

    With data engineering and 15 years of building Data Orchestration tools like Airflow, Dagster, Prefect, and Kestra, we are now doing the same for AI agents.

  14. AI Orchestrators

    Instead of Orchestration for data engineering jobs, AI orchestration is all about scheduling and orchestrationg AI Agents.

  15. Writing Manually (In Times of AI-generated Content)

    In times of AI Writing, writing manually is more important than ever.

  16. Import Files on Arch Linux (gphoto)

    See gPhoto - ArchWiki, it is a Linux library to import images from a camera. # Find Camera Plug in camera, e.g. canon -> use view mode and connect usb cable and get model: 1 2 3 4 ❯ gphoto2 --auto-detect Model Port -------------…

  17. HackMD: Collaborative Markdown (Google Docs for Obsidian)

    HackMD is Google Docs for Markdown.

  18. Data Engineering Acquisitions (2022-2026)

    Consolidation in the Data Engineering market is happening quickly.

  19. Understanding the Difference: Writing within an App vs. a Note App

    The difference between writing within the app you publish, let’s say, Twitter, LinkedIn, or the newsletter in Substack, Medium, Email, etc., and writing it in Obsidian or a note app can make a big difference, but for different reasons.

  20. Journaling

    Another one that goes hand in hand with Stoic is Journaling.

  21. Note-Taking: Digital vs. Paper

    Writing is therapy!

  22. Smart Note Taking

    Why is this important?

  23. Everything I've Published Came out of One Obsidian Vault

    When checking how much I have written over the years, it amazes me every time, and most of the inspirations, ideas, and brainstorm came initially from my Second Brain.

  24. (HEY) Email Screener

    The HEY screener is probably one of the biggest life improvements introduced in the last two years (for productivity) that I can’t live without anymore.

  25. HEY-Screener in (Neo)Mutt

    To create my favorite feature from HEY.com, the E-Mail Screener, I had to get the existing work and screen in and out of the list for two years or so.

  26. Compounding Note-Taking

    Note-taking is like saving money with interest.

  27. Notes Compound, Blogs Compile: When I Update a Note vs. Publish a Post

    I like to collect notes over time on my Second Brain, and eventually, when I figure something substantial to share, something I learned, I write a blog post about it.

  28. Will AI Replace Human Thinking? The Case for Writing and Coding Manually

    Learning to Think Again, and the Cost of AI Dependency.

  29. Kestra

    Kestra is a universal open-source orchestrator that makes both scheduled and event-driven workflows easy.

  30. The Differences between Writing and Coding

    AI Writing differs from coding because it’s consumed by different stakeholders.

  31. If Consumed by a Human, Should Be Written by Human

    I like Naval’s take, as elaborated above, which says it all depends on who the customer is.

  32. Why Have Your Website (and not Medium, LinkedIn, Substack, ...)

    I’m saying this repeatedly: have your own website and domain.

  33. Microsoft Fabric

    New announcement 2023-05-23 about the single place of MS; it’s like a Databricks replica, except for the tools in Azure without needing to go into Azure (see more below).

  34. Writing Manually (In Times of AI-generated Content)

    In times of AI Writing, writing manually is more important than ever.

  35. Keep AI Out of Your (Obsidian) Vault

    Everyone is using Obsidian for AI, or wants to use it to become more productive.

  36. Writing with AI: What's the Best Approach?

    To me, AI writing always results in this: They always look nice at first sight, but over time, they look all the same: complex, unnatural, and busy.

  37. How to Get Started with Data Engineering

    Whether you work in a different field or are curious about what Data Engineering is, this is the right place to start as a data engineer.

  38. Data Engineering Fundamentals

    To me, the fundamentals of data engineering are well described in Fundamentals of Data Engineering Book with the Data Engineering Lifecycle: Image from the above mentioned book | Source If you want to learn related fundamentals, look at Data Engineering T…

  39. Data Engineering Lifecycle

    In today’s landscape, a data engineer is pivotal in overseeing the entire data engineering process.

  40. Home Made Ramen: Step-by-Step Instructions

    This is a delicous Ramen soup, that you can make at home.

  41. Apache Arrow: The Foundation for In-Memory Storage

    Apache Arrow is in-memory analytics format.

  42. Modern Data Stack

    The Modern Data Stack (MDS) comprises a suite of open-source tools designed for end-to-end analytics.

  43. DataFusion: Fundamental OSS Query Execution Framework

    DataFusion is an extensible query execution framework, written in Rust, that uses Apache Arrow as its in-memory format.

  44. Constraints (for Life)

    I like constraints to nourish artistic work, to unblock you when you have total freedom.

  45. Yazi

    Yazi is a blazing-fast terminal file manager to replace GUI-first file managers.

  46. Git for Data

    Git like versioning on top of object storage/Data Lakes and databases. # What are the benefits?

  47. Writing is Hard; and Meaningless with no Experience

    Everyone who can write has a competitive advantage because not everyone can do it.

  48. Terminal Multiplexer

    Tmux as the most know multiplexer of this category has now many copy-cater, that have more modern design and better default shortcuts, though that depends on the user.

  49. Fonts: Reading/Writing and Programming Monos

    I have a love for nice fonts. # Reading and Writing Fonts Atkinson Hyperlegible (mentioned Your favourite fonts choice and why?

  50. Open Source (OSS): Advantages, Challenges, and AI

    Open source software refers to software projects shared online on GitHub, Codeberg, Tangled, or other GitHub Alternatives, usually with a git repository.