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Update "Scaling up to your first 10 million users" link #411

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8 changes: 4 additions & 4 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -806,7 +806,7 @@ Systems such as [Consul](https://www.consul.io/docs/index.html), [Etcd](https://
<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>

### Relational database management system (RDBMS)
Expand Down Expand Up @@ -872,7 +872,7 @@ Both masters serve reads and writes and coordinate with each other on writes. I
<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.
Expand All @@ -886,7 +886,7 @@ Federation (or functional partitioning) splits up databases by function. For ex

##### 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)

#### Sharding

Expand Down Expand Up @@ -1122,7 +1122,7 @@ Sample data well-suited for NoSQL:

##### 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/)

## Cache
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