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Database Scaling

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May 1, 2024 3 minute read

Database scaling is a crucial aspect of database management, ensuring that databases can handle increasing workloads and data volumes effectively. Scaling enables databases to meet growing demands without compromising performance or reliability.

Why Learn Database Scaling

There are several reasons why learning database scaling is beneficial:

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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 Database Scaling.
Focuses on data modeling for large-scale NoSQL applications. While it does not cover all aspects of database scaling, it provides valuable insights into the specific challenges and techniques involved in scaling NoSQL databases.
Provides a deep dive into the internals of distributed data systems, including topics such as data storage, indexing, query processing, and concurrency control. While it does not focus specifically on database scaling, it offers valuable insights into the underlying technologies and techniques that enable scalability.
Provides a practical guide to PostgreSQL, a popular open-source SQL database. While it does not focus specifically on database scaling, it covers topics such as database design, indexing, and query optimization, which are essential for understanding and scaling SQL databases.
Provides a broad overview of data-intensive application design, including topics such as data modeling, data storage, and data processing. While it does not cover database scaling in depth, it offers valuable insights into the challenges and techniques involved in designing scalable data-intensive applications.
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