Design Microservices Architecture with Patterns and Principles - Problem: Single Database Server Performs Low Performanc

The video tutorial discusses the limitations of using a single database server, such as low performance and scalability issues. It highlights the need for data partitioning to address these problems. The tutorial explains how data partitioning can improve availability, scalability, performance, and security by dividing data into smaller, manageable units. It introduces horizontal, vertical, and functional data partitioning as effective methods to enhance database management and efficiency.

What are the main reasons for using data partitioning in database architecture?

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Explain the problems associated with using a single database server.

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Describe the benefits of applying data partitioning methods.

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What are the different types of data partitioning mentioned in the text?

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How does data partitioning improve application performance and security?

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