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 blog.panoply.io
MongoDB Best Practices: Schema Design, Indexes & More
| | www.adamconrad.dev
Data models and query languages - Adam C. Conrad
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| | Ch 2 of my book club review of Designing Data-Intensive Applications by Martin Kleppmann.
| | sookocheff.com
Paper Review: Combining Systems and Databases: A Search Engine Retrospective | Kevin Sookocheff
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| | Title and Author of Paper Combining Systems and Databases: A Search Engine Retrospective. Eric A. Brewer. Summary Search engines manage data and respond to queries, which provides some similarities to databases. However, search engines are really an application-specific system built to handle large datasets. This system can leverage databases, or not, depending on the system goals. This paper describes a search engine design that leverages the ideas and vocabulary of the database community.
| | timilearning.com
Chapter 2 - Data Models and Query Languages
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| | My notes from the second chapter of Martin Kleppmann's book: Designing Data Intensive Applications.
| | timilearning.com
Data Storage on Your Computer's Disk - Part 1
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| Have you ever wondered how data stored in databases actually gets represented on your computer's hard disk? Or why some queries to your database tables benefit from adding indexes on columns? Well, whether you have or not, here's a series of posts that aim to detail my understanding of the journey from inserting a row to a database table, to actually retrieving that row.