How indexes work in Distributed Databases, their trade-offs, and challenges

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In the video, I explained how indexing works in a distributed database like DynamoDB and the challenges it brings. I discussed creating different types of indexes, such as global secondary indexes, for efficient querying. By using global secondary indexes, queries can be optimized by directly accessing the required data shards. I also touched on local secondary indexes for specific query patterns. Maintaining indexes can be costly, and the choice between global and local secondary indexes depends on the query requirements and consistency needs. The video ended with a suggestion to explore further on index creation using B+ Trees.

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