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Titlebook: Database Performance at Scale; A Practical Guide Felipe Cardeneti Mendes,Piotr Sarna,Cynthia Dunlop Book‘‘‘‘‘‘‘‘ 2023 Felipe Cardeneti Mend

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Hongchao Fan,Alexander Zipf,Qing Furs, so it’s often well-documented and has a formal specification. Some databases, like PostgreSQL, implement their own binary format on top of the TCP/IP stack. Others, like Amazon DynamoDB, build theirs on top of HTTP, which is a little more verbose, but also more versatile and compatible with web
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https://doi.org/10.1007/978-3-031-27238-7tion; others are used only as a fast cache layer, and yet others store seldom-accessed cold data in a cheap place, for emergency purposes only. That chapter covered how drivers work to understand and interact with that topology to exchange information more efficiently.
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An Impossible Yet Necessary Taskrequently. Adverse events that could place the business at risk—for example, node failures or a misbehaving client—will inevitably occur. Given the complexity of both databases and data-intensive applications, it’s not a matter of . some combination of factors ends up degrading performance, but ..
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Topology Considerations,tion; others are used only as a fast cache layer, and yet others store seldom-accessed cold data in a cheap place, for emergency purposes only. That chapter covered how drivers work to understand and interact with that topology to exchange information more efficiently.
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