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Mastering MongoDB 3.x

Mastering MongoDB 3.x

By : Alex Giamas
4.1 (13)
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Mastering MongoDB 3.x

Mastering MongoDB 3.x

4.1 (13)
By: Alex Giamas

Overview of this book

MongoDB has grown to become the de facto NoSQL database with millions of users—from small startups to Fortune 500 companies. Addressing the limitations of SQL schema-based databases, MongoDB pioneered a shift of focus for DevOps and offered sharding and replication maintainable by DevOps teams. The book is based on MongoDB 3.x and covers topics ranging from database querying using the shell, built in drivers, and popular ODM mappers to more advanced topics such as sharding, high availability, and integration with big data sources. You will get an overview of MongoDB and how to play to its strengths, with relevant use cases. After that, you will learn how to query MongoDB effectively and make use of indexes as much as possible. The next part deals with the administration of MongoDB installations on-premise or in the cloud. We deal with database internals in the next section, explaining storage systems and how they can affect performance. The last section of this book deals with replication and MongoDB scaling, along with integration with heterogeneous data sources. By the end this book, you will be equipped with all the required industry skills and knowledge to become a certified MongoDB developer and administrator.
Table of Contents (13 chapters)
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Summary

In this chapter, we covered some areas that were not detailed in previous chapters. It is important to apply best practices according to our workload requirements. Read performance is usually what we want to optimize for, and this is why we discussed consolidating queries and denormalization of our data.

Operations are also important when we go from deployment to ensuring the continuous performance and availability of our cluster.

Security is something that we don't think about until it affects us. This is why we should invest the time beforehand in planning, to make sure that we have the measures we need in place to be sufficiently secure.

Finally, we introduced the concept of checklists to keep track of our tasks and make sure we complete all of them before major operational events (deployment, cluster upgrades, moving to sharding from replica sets, and so on).

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