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| | | | | www.adamconrad.dev | |
| | | | | Ch 2 of my book club review of Designing Data-Intensive Applications by Martin Kleppmann. | |
| | | | | vertabelo.com | |
| | | | | The art of designing a good database is like swimming. It is relatively easy to start and difficult to master. If you want to learn to design databases, you should for sure have some theoretic background, like knowledge about database normal forms and transaction isolation levels. But you should also practice as much as possible, because the sad truth is that we learn most... by making errors. | |
| | | | | architecturenotes.co | |
| | | | | How Relational Databases Work. This post talks about how indexes and transactions work on the inside of relational databases. | |
| | | | | compositecode.blog | |
| | | The CAP theorem emphasizes the trade-offs between Consistency, Availability, and Partition Tolerance in distributed systems like MongoDB. Prioritizing Availability and Partition Tolerance, MongoDB uses replica sets and sharding for resilience while allowing configurable consistency. Its support for ACID transactions helps maintain data integrity, enabling tailored solutions for varying application requirements. | ||