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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... 🧵)

  12. Folks often ask me what is 3rd Normal Form and why I like it so much :ablobcatbongokeyboard: So I put together a page on my wiki explaining the most common Normal Forms :sql:

    Books often describe them with vast details - I wanted to make a short and handy intro :blobcatreading:

    #datamodeling #knowledge #useful #wiki #databases

  13. Folks often ask me what is 3rd Normal Form and why I like it so much :ablobcatbongokeyboard: So I put together a page on my wiki explaining the most common Normal Forms :sql:

    Books often describe them with vast details - I wanted to make a short and handy intro :blobcatreading:

    #datamodeling #knowledge #useful #wiki #databases

  14. Folks often ask me what is 3rd Normal Form and why I like it so much :ablobcatbongokeyboard: So I put together a page on my wiki explaining the most common Normal Forms :sql:

    Books often describe them with vast details - I wanted to make a short and handy intro :blobcatreading:

    #datamodeling #knowledge #useful #wiki #databases

  15. Folks often ask me what is 3rd Normal Form and why I like it so much :ablobcatbongokeyboard: So I put together a page on my wiki explaining the most common Normal Forms :sql:

    Books often describe them with vast details - I wanted to make a short and handy intro :blobcatreading:

    #datamodeling #knowledge #useful #wiki #databases

  16. Folks often ask me what is 3rd Normal Form and why I like it so much :ablobcatbongokeyboard: So I put together a page on my wiki explaining the most common Normal Forms :sql:

    Books often describe them with vast details - I wanted to make a short and handy intro :blobcatreading:

    #datamodeling #knowledge #useful #wiki #databases

  17. #NVIDIA published a blog post where they present GQE, a GPU-based query engine. Querying data from databases with GPU accelleration is beyond cool, and will certainly optimize the storage requirements for #bigdata due to enabling for more efficient compression algorithms. Here is the blog post:

    Designing GPU-Accelerated Query Engines with NVIDIA GQE

    #bigdata #databases #polars #pandas #datascience

  18. Millions of WordPress sites get forced update to patch critical plugin flaw - Enlarge (credit: Getty Images)

    Millions of WordPress sites hav... - arstechnica.com/?p=1835318 #contentmanagementsystems #vulnerabilities #databases #wordpress #hacking #biz&it

  19. Hasura raises $9.9M Series A to simplify GraphQL for developers - Hasura, a startup working to solve developer problems around connecting to databases when using the ... more: feedproxy.google.com/~r/Techcr #vertexventures #opensource #developer #databases #startups #funding #hasura #apis