sspaeti

5 ms·

1.
Writing in a Foreign Language: How a English Gave Me My Voice(ssp.sh)
2 points by sspaeti 4mo ago|0 comments
2.
A few thoughts on «Using Obsidian with AI»(ssp.sh)
4 points by sspaeti 5mo ago|0 comments
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by sspaeti 11mo ago
Write the lessons learned. The mesmerizing content is the content shared, whether there is a return or not. You can either buy someone's attention or you can earn it. If you earn it, it's vastly deeper. You put good stuff out to t
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About Writing(ssp.sh)
3 points by sspaeti 11mo ago|1 comments
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by sspaeti 1y ago
oh this is amazing. I'm using https://boxy-svg.com/ for SVGs generated by Claude, and then edit and update it myself. SVG is very powerful.
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by sspaeti 3y ago
Great insights, articsputnik. My journey with Vim began in a similar way. Initially, I was overwhelmed by the "Vim way" of doing things, but over time, the rationale behind its design choices began to make sense. The idea that you
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by sspaeti 4y ago
The goal with the open data stack is that companies can reuse existing battle-tested solutions and build on top of them instead of reinventing the wheel by re-implementing key components from the Data Engineering Lifecycle for each componen
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Show HN: Open Data Stack: Examples of End-to-End DE Projects(github.com)
3 points by sspaeti 4y ago|0 comments
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by sspaeti 4y ago
> The column-oriented storage format used by data warehouses allows them to efficiently leverage modern SIMD computer architectures for columnar-vectorized processing. I find it interesting how these vectorized processing engines with Du
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by sspaeti 4y ago
Excerpt: - Language: SQL and Python Continue to Dominate, With Rust Looking Promising - Abstraction: Custom ETL Is Replaced by Data Connectors - Latency: Better Tools Available In The Streaming Domain - Architecture: New D
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by sspaeti 4y ago
I agree that for new content, the initial time handwriting makes sense, before adding it to your second brain. For me, Writing is therapy! I usually write as much as possible on my laptop because I can type as fast as I think. At the same t
12.
by sspaeti 4y ago
I love the article, and it gave me the essential pointers to start with. I loved it so much that it inspired me to write a piece focusing on python vs. rust in data engineering. I leave the article here, in case of interest: https:/&#
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by sspaeti 4y ago
A new way of building a glossary. It's a second brain for data. Instead of having single terms on the top level, you go into the glossary and explore related ideas/definitions.
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by sspaeti 4y ago
I created a small guide with the most important topics on a Data Lake and Lakehouse containing the following chapters. - What is a Data Lake & Why do you need one? - Differences between Lakehouse & Warehouse - Components of Data Lak
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Data Lake / Lakehouse Guide: Data Lake Table Formats (Delta Lake, Iceberg, Hudi)(airbyte.com)
3 points by sspaeti 4y ago|1 comments
16.
by sspaeti 4y ago
Excellent article, as always, telling the perfect story. I fully agree and wrote about the same but called it "The Shift From Data Pipelines to Data Products". If anyone is interested, I believe it goes in-depth into what Benn wis
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Data News: Dagster 1.0 Launch Recap(airbyte.com)
1 points by sspaeti 4y ago|0 comments
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by sspaeti 4y ago
Fascinating article and to the heart of my being as a DE engineer. I had the same conclusion a while back and wrote about the trends in data orchestration towards a declarative pipeline, which more modern tools, as you mentioned, will do, b
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Open-Source Data Warehousing – Druid, Apache Airflow and Superset(sspaeti.com)
3 points by sspaeti 4y ago|0 comments
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Data Orchestration Trends: The Shift from Data Pipelines to Data Products(airbyte.com)
1 points by sspaeti 4y ago|0 comments
21.
by sspaeti 5y ago
I also like that it focused on GUI automation and not others. But instead of trying to automate GUI elements that will change anyway or be very hard to maintain, it's better to offer GraphQL endpoints. Meaning everyone can use the webs
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Saying Goodbye to WordPress, a Homecoming(sspaeti.com)
1 points by sspaeti 5y ago|0 comments
23.
Building a Data Engineering Project in 20 Minutes(sspaeti.com)
1 points by sspaeti 6y ago|0 comments