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Now let's talk about DocumentDB.

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So the same way we had Aurora as the way for AWS

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to implement a sort of big cloud native version

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of PostgresSQL and MySQL,

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we have DocumentDB, which is an Aurora version for MongoDB.

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So MongoDB, if you don't know,

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that's the logo on the top right corner of your screen.

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It is another NoSQL database,

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and you need to remember this for the exam.

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So DocumentDB is a NoSQL database,

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and it's based on top of the MongoDB technology.

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So it's compatible with MongoDB.

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So MongoDB is used to store query and index JSON data,

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and you have the same similar deployment concept

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as Aurora with DocumentDB.

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So that means it's a fully managed database.

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It's highly available.

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Data is replicated across three availability zones,

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and the storage will grow automatically

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in increments of 10 gigabytes

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up to 64 terabytes of storage, all of this, okay?

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And DocumentDB has been engineered so it's can scale

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to workloads with millions of requests per second.

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So at the exam, if you see anything related to MongoDB,

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think DocumentDB, or if you see anything related

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to NoSQL databases, think DocumentDB and also DynamoDB.

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That's it for this lecture.

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I hope you liked it,

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and I will see you in the next lecture.