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At the core of most large-scale web applications and services is a high-performance data storage solution. The back-end data store is responsible for storing everything from user account information, to shopping cart items, to blog and comment data. Good web applications require the capability to store and retrieve data with accuracy, speed, and reliability. Therefore, the data storage mechanism you choose must perform at a level to satisfy user demand.

Several data storage solutions are available to store and retrieve data your web applications need. The three most common are direct file system storage in files, relational databases, and NoSQL databases. The data store chosen for this book is MongoDB, which is a NoSQL database.

In this hour, you learned about the design considerations to review before deciding how to implement the structure of data and configuration of a MongoDB database. You also learned which design questions to ask and then how to explore the mechanisms built into MongoDB to answer those questions.

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