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<p align="center">
<img src="http://i.imgur.com/Xkm5CXz.png"/>
<br/>
<i><a href=https://www.youtube.com/watch?v=w95murBkYmU>Source: Scaling up to your first 10 million users</a></i>
<i><a href=https://www.youtube.com/watch?v=kKjm4ehYiMs>Source: Scaling up to your first 10 million users</a></i>
</p>
l10n:p -->
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<p align="center">
<img src="http://i.imgur.com/Xkm5CXz.png"/>
<br/>
<i><a href=https://www.youtube.com/watch?v=w95murBkYmU>Источник: Scaling up to your first 10 million users</a></i>
<i><a href=https://www.youtube.com/watch?v=kKjm4ehYiMs>Source: Scaling up to your first 10 million users</a></i>
</p>
<!-- l10n:p
@ -1940,7 +1940,7 @@ l10n:p -->
<p align="center">
<img src="http://i.imgur.com/U3qV33e.png"/>
<br/>
<i><a href=https://www.youtube.com/watch?v=w95murBkYmU>Source: Scaling up to your first 10 million users</a></i>
<i><a href=https://www.youtube.com/watch?v=kKjm4ehYiMs>Source: Scaling up to your first 10 million users</a></i>
</p>
Federation (or functional partitioning) splits up databases by function. For example, instead of a single, monolithic database, you could have three databases: **forums**, **users**, and **products**, resulting in less read and write traffic to each database and therefore less replication lag. Smaller databases result in more data that can fit in memory, which in turn results in more cache hits due to improved cache locality. With no single central master serializing writes you can write in parallel, increasing throughput.
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<p align="center">
<img src="http://i.imgur.com/U3qV33e.png"/>
<br/>
<i><a href=https://www.youtube.com/watch?v=w95murBkYmU>Source: Scaling up to your first 10 million users</a></i>
<i><a href=https://www.youtube.com/watch?v=kKjm4ehYiMs>Source: Scaling up to your first 10 million users</a></i>
</p>
Федерализация (или функциональное разделение) разбивает базы данных по функциям. Например, вместо одной монолитной базы данных, можно создать три отдельных базы данных:
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<!-- l10n:p
##### Source(s) and further reading: federation
* [Scaling up to your first 10 million users](https://www.youtube.com/watch?v=w95murBkYmU)
* [Scaling up to your first 10 million users](https://www.youtube.com/watch?v=kKjm4ehYiMs)
l10n:p -->
##### Источники и дополнительные ссылки
* [Scaling up to your first 10 million users](https://www.youtube.com/watch?v=w95murBkYmU)
* [Scaling up to your first 10 million users](https://www.youtube.com/watch?v=kKjm4ehYiMs)
<!-- l10n:p
#### Sharding
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<!-- l10n:p
##### Source(s) and further reading: SQL or NoSQL
* [Scaling up to your first 10 million users](https://www.youtube.com/watch?v=w95murBkYmU)
* [Scaling up to your first 10 million users](https://www.youtube.com/watch?v=kKjm4ehYiMs)
* [SQL vs NoSQL differences](https://www.sitepoint.com/sql-vs-nosql-differences/)
l10n:p -->
##### Источники и дополнительные ссылки по SQL or NoSQL
* [Scaling up to your first 10 million users](https://www.youtube.com/watch?v=w95murBkYmU)
* [Scaling up to your first 10 million users](https://www.youtube.com/watch?v=kKjm4ehYiMs)
* [SQL vs NoSQL differences](https://www.sitepoint.com/sql-vs-nosql-differences/)
<!-- l10n:p