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Sharding Database

Track :

Programming

Lessons no : 6

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What will you learn in this course?
  • Master how to design and implement database sharding for scalable, high-performance distributed systems using sharding techniques and strategies
  • Optimize database performance and manage large datasets efficiently through effective sharding architecture and data partitioning methods
  • Identify appropriate sharding strategies such as horizontal, vertical, and directory-based sharding for different database requirements and workloads
  • Apply best practices for data distribution, load balancing, and query routing in sharded database environments
  • Troubleshoot common challenges in sharded databases, including data consistency, re-sharding, and fault tolerance
  • Evaluate the impact of sharding on database security, maintenance, and scalability for enterprise-level applications

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Lessons | 6


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Sharding is a method for distributing a single dataset across multiple databases, which can then be stored on multiple machines. This allows for larger datasets to be split in smaller chunks and stored in multiple data nodes .