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henrikwarne.com | ||
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timilearning.com
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| | | | | My notes from Chapter 7 of 'Designing Data-Intensive Applications' by Martin Kleppmann. | |
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sookocheff.com
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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. | |
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my-it-notes.com
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| | | | | Databases - how they work under the hood?Key takeaways from brilliant book "Designing data intensive application" - to quickly recap core concepts. DB engines classifications Type of load: OLTP (transaction processing) vs OLAP (data warehousing and analytics) Relational vs NoSQL, document vs columnar, graph vs triple-store (semantic facts storage) Even within NoSQL camp you can ... | |
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risingwave.com
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| | | PostgreSQL is a free and open-source relational database management system (RDBMS) emphasizing extensibility and SQL compliance. | ||
