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#databases — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #databases, aggregated by home.social.

  1. River Engineering writer Vivian Mathews retells their company's 16-month-long saga to replace an aging accounting ledger system with a refactored, highly optimized new version. They go through the nitty-gritty of how they successfully pulled-off a zero-downtime migration including code examples and key takeaways for the TL;DR crowd.

    "We replaced our ledger with two functions"

    river.com/content/we-replaced-

    #programming #databases #accounting #ledgers #optimization #refactoring #migration #testing

  2. River Engineering writer Vivian Mathews retells their company's 16-month-long saga to replace an aging accounting ledger system with a refactored, highly optimized new version. They go through the nitty-gritty of how they successfully pulled-off a zero-downtime migration including code examples and key takeaways for the TL;DR crowd.

    "We replaced our ledger with two functions"

    river.com/content/we-replaced-

    #programming #databases #accounting #ledgers #optimization #refactoring #migration #testing

  3. River Engineering writer Vivian Mathews retells their company's 16-month-long saga to replace an aging accounting ledger system with a refactored, highly optimized new version. They go through the nitty-gritty of how they successfully pulled-off a zero-downtime migration including code examples and key takeaways for the TL;DR crowd.

    "We replaced our ledger with two functions"

    river.com/content/we-replaced-

    #programming #databases #accounting #ledgers #optimization #refactoring #migration #testing

  4. River Engineering writer Vivian Mathews retells their company's 16-month-long saga to replace an aging accounting ledger system with a refactored, highly optimized new version. They go through the nitty-gritty of how they successfully pulled-off a zero-downtime migration including code examples and key takeaways for the TL;DR crowd.

    "We replaced our ledger with two functions"

    river.com/content/we-replaced-

    #programming #databases #accounting #ledgers #optimization #refactoring #migration #testing

  5. River Engineering writer Vivian Mathews retells their company's 16-month-long saga to replace an aging accounting ledger system with a refactored, highly optimized new version. They go through the nitty-gritty of how they successfully pulled-off a zero-downtime migration including code examples and key takeaways for the TL;DR crowd.

    "We replaced our ledger with two functions"

    river.com/content/we-replaced-

    #programming #databases #accounting #ledgers #optimization #refactoring #migration #testing

  6. CW: Article: It took 13 years to notice my invalid vehicle registration certificate!

    Thirteen years ago, it seems, a DVLA form processor decided that my name must have been a company name, and incorrectly registered my car's keeper as being a non-existent company imagined to share my name. And I only just found out.
    Read more: danq.me/2026/09/02/dvla-v5c-is

    #article #cars #databases #driving #names #q #uk

  7. Condensing the classification found in "Still Building the Memex" (Davies 2010), I'd be comfortable dividing personal knowledge base structural frameworks into two categories: Link-based and Category-based.

    Tree-structured and graph-structured organizers are link-based. Tag-structured organizers are category-based. Because select and join are key-matching operations, relational #databases are also category-based.

    For the link-based systems the primitive operation is to follow a link. For the category-based systems the primitive operation is to separate a collection of data into items belonging to a particular category and items not belonging to the category.

    (Thread continues... 🧵)

  8. Condensing the classification found in "Still Building the Memex" (Davies 2010), I'd be comfortable dividing personal knowledge base structural frameworks into two categories: Link-based and Category-based.

    Tree-structured and graph-structured organizers are link-based. Tag-structured organizers are category-based. Because select and join are key-matching operations, relational #databases are also category-based.

    For the link-based systems the primitive operation is to follow a link. For the category-based systems the primitive operation is to separate a collection of data into items belonging to a particular category and items not belonging to the category.

    (Thread continues... 🧵)

  9. Condensing the classification found in "Still Building the Memex" (Davies 2010), I'd be comfortable dividing personal knowledge base structural frameworks into two categories: Link-based and Category-based.

    Tree-structured and graph-structured organizers are link-based. Tag-structured organizers are category-based. Because select and join are key-matching operations, relational #databases are also category-based.

    For the link-based systems the primitive operation is to follow a link. For the category-based systems the primitive operation is to separate a collection of data into items belonging to a particular category and items not belonging to the category.

    (Thread continues... 🧵)

  10. Condensing the classification found in "Still Building the Memex" (Davies 2010), I'd be comfortable dividing personal knowledge base structural frameworks into two categories: Link-based and Category-based.

    Tree-structured and graph-structured organizers are link-based. Tag-structured organizers are category-based. Because select and join are key-matching operations, relational #databases are also category-based.

    For the link-based systems the primitive operation is to follow a link. For the category-based systems the primitive operation is to separate a collection of data into items belonging to a particular category and items not belonging to the category.

    (Thread continues... 🧵)

  11. Condensing the classification found in "Still Building the Memex" (Davies 2010), I'd be comfortable dividing personal knowledge base structural frameworks into two categories: Link-based and Category-based.

    Tree-structured and graph-structured organizers are link-based. Tag-structured organizers are category-based. Because select and join are key-matching operations, relational #databases are also category-based.

    For the link-based systems the primitive operation is to follow a link. For the category-based systems the primitive operation is to separate a collection of data into items belonging to a particular category and items not belonging to the category.

    (Thread continues... 🧵)