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Add sharding strategies resource (#2909)

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Rachelle Palmer authored and GitHub committed 2022-11-10 16:16:51 +04:00
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content/roadmaps/101-backend/content/108-more-about-databases/107-sharding-strategies.md
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# Sharding strategies
Sharding strategy is a technique to split a large dataset into smaller chunks (logical shard) in which we distribute these chunks in different machines/database nodes in order to distribute the traffic load. It’s a good mechanism to improve the scalability of an application.
Sharding strategy is a technique to split a large dataset into smaller chunks (logical shard) in which we distribute these chunks in different machines/database nodes in order to distribute the traffic load. It’s a good mechanism to improve the scalability of an application. Many databases support sharding, but not all.
<ResourceGroupTitle>Free Content</ResourceGroupTitle>
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://www.geeksforgeeks.org/database-sharding-a-system-design-concept/'>Database Sharding – System Design Interview Concept</BadgeLink>
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://en.wikipedia.org/wiki/Shard_(database_architecture)'>Wikipedia - Sharding in Datbase Architectures</BadgeLink>
<BadgeLink colorScheme='yellow' badgeText='Read' href='https://stackoverflow.blog/2022/03/14/how-sharding-a-database-can-make-it-faster/'>How sharding a database can make it faster</BadgeLink>