Why SQLite succeeded as a database with Richard Hipp, creator of SQLite (The Changelog #201) |> News and podcasts for developers |> Changelog

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  1. #201: SQLite with Richard Hipp - The Changelog

    This week we talked with Richard Hipp, the creator of SQLite, about its history, where it came from, why it succeeded as a database, how it’s development is sustainably funded, and how it’s the most widely deployed database engine in the world.

    Download: MP3 Audio

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    Show notes and links

    Home Page for D. Richard Hipp

    SQLite Home Page

    GDBM

    fopen(3) – Linux manual page

    Bruce Perens – Wikipedia, the free encyclopedia

    Have comments? Send a tweet to @Changelog on Twitter.Subscribe to Changelog Weekly – our weekly email covering everything that hits our open source radar.

    https://changelog.com/201/

    —Huffduffed by thelibrarian

  2. The Untold Story of SQLite With Richard Hipp - CoRecursive Podcast

    On today’s show, I’m talking to Richard Hipp about surviving becoming core infrastructure for the world. SQLite is everywhere. It’s in your web browser, it’s in your phone, it’s probably in your car, and it’s definitely in commercial planes. It’s where your iMessages and WhatsApp messages are stored, and if you do a find on your computer for *.db, you’ll… […]

    https://corecursive.com/066-sqlite-with-richard-hipp/

    —Huffduffed by asimpson

  3. How SQL Database Engines Work

    Dr. Richard Hipp, creator of SQLite, presents "How SQL Database Engines Work" at OpenSQLCamp 2008.

    The description: To many programmers, SQL RDBMSes are a magical black box. A talk can help clear up a lot of the mystery. SQL users tend to make better use of the language once they have a rough idea of what is going on beneath the covers.

    ===
    Original video: https://www.youtube.com/watch?v=Z_cX3bzkExE
    Downloaded by http://huffduff-video.snarfed.org/ on Tue Dec 8 07:06:16 2020 Available for 30 days after download

    —Huffduffed by surrounded

  4. Busting the omnichannel - enterprise hacks and chats » Blog Archive » MongoDB’s Kelly Stirman on database streaming, security, and the rapidly changing DB market

    MongoDB’s Kelly Stirman on database streaming, security, and the rapidly changing DB market

    March 17, 2016

    In this on-site podcast, live from MongoDB Palo Alto, Jon Reed talks with MongoDB’s Kelly Stirman about his database research obsessions. Stirman hits on key trends pertaining to data streaming, analysis, graph databases, and cloud adoption. He also explains why he doesn’t like it when MongoDB winds up in the NoSQL database bucket. Finally, Jon and Kelly discuss the potent issue of data security, including MongoDB’s responses to recent industry security events. Yes, you can get Busting the Omnichannel on iTunes.

    00:0000:00

    http://jonerp.podbean.com/e/mongodbs-kelly-stirman-on-database-streaming-security-and-the-rapidly-changing-db-market/

    —Huffduffed by alexp

  5. The Incomparable | A Parrot Bit Me (Episode 378)

    Old Movie Club returns with two paranoid films set amid the intrigue of postwar Europe: 1949’s “The Third Man” and 1965’s “The Spy Who Came in from the Cold.” The former features Orson Welles, a collection of suspicious characters in Vienna, and a whole lot of zither music. The latter features Richard Burton mixing insobriety with spycraft, and a very peculiar library. (This episode is presented in black and white.)

    https://www.theincomparable.com/theincomparable/378/

    —Huffduffed by kevinpacheco

  6. Database Optimisation - Remo Biagioni - PHP UK Conference

    Database optimisation A real life example getting more throughput with fewer queries.

    Over the last year we’ve grown a database from a few hundred megabytes to just over one terabyte. The database is reported on and populated by a network of servers using PHP. As the database has grown we’ve had to look again our initial assumptions and ways of working. One table has over 2billion rows; 2.5 million rows every day are added to another table. This talk will cover how we use explain, foreign keys, normalising data without sacrificing performance, queuing and using memcache. And, how we’ve made the system run faster now than it did with a much smaller database.

    PDF http://phpconference.co.uk/2010/talks

    —Huffduffed by michaelfox