May 1, 2024
4 minute read
Key-value stores are a type of data storage that uses a hash table to store data. This makes it easy to retrieve data by key, but it does not support complex queries like a relational database. Key-value stores are often used for caching, as they can quickly retrieve data without having to search through an entire database.
Why Learn About Key-Value Stores?
There are many reasons why you might want to learn about key-value stores. Some of the most common reasons include:
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Featured in The Course Notes
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two articles that feature
Key-Value Stores:
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Reading list
We've selected five books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Key-Value Stores.
Comprehensive guide to Apache Cassandra, a popular open-source distributed key-value store. It covers everything from basic concepts to advanced topics such as tuning and performance optimization, making it highly relevant for real-world implementation and maintenance of Cassandra clusters.
Provides a comprehensive guide to data modeling for key-value stores, including techniques for optimizing performance and scalability.
Provides a comprehensive guide to MongoDB, a popular document-oriented database that uses a key-value store as its underlying data structure.
Provides a comprehensive guide to Elasticsearch, a popular search engine that uses a key-value store to store its index.
Provides a gentle introduction to NoSQL databases, including key-value stores.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/ou2c8j/key