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chapter six designing data intensive applications this chapter is all about data partitioning so we are gonna have three different areas that I will be covering the first one is why do we need data partitioning no second how does data partitioning impact the indexes that we have built and third for a human request coming in how does your distributed system route your requests to the right replicar to the right database and how does request routing work so lets get into those three areas overall data partitioning is also same as data sharding or data splitting or bucketing its basically saying certain users will go to certain machines and that are backed by certain databases and the reason why you need this is scalability if you have millions of users and if you have lots and lots of gigabytes of data per user then one machine cannot solve it and so you need multiple machines with partition that says these users this database or this machine will take care of it for these users these