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  • Book Overview & Buying Mastering MongoDB 6.x
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Mastering MongoDB 6.x

Mastering MongoDB 6.x - Third Edition

By : Alex Giamas
4.7 (17)
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Mastering MongoDB 6.x

Mastering MongoDB 6.x

4.7 (17)
By: Alex Giamas

Overview of this book

MongoDB is a leading non-relational database. This book covers all the major features of MongoDB including the latest version 6. MongoDB 6.x adds many new features and expands on existing ones such as aggregation, indexing, replication, sharding and MongoDB Atlas tools. Some of the MongoDB Atlas tools that you will master include Atlas dedicated clusters and Serverless, Atlas Search, Charts, Realm Application Services/Sync, Compass, Cloud Manager and Data Lake. By getting hands-on working with code using realistic use cases, you will master the art of modeling, shaping and querying your data and become the MongoDB oracle for the business. You will focus on broadly used and niche areas such as optimizing queries, configuring large-scale clusters, configuring your cluster for high performance and availability and many more. Later, you will become proficient in auditing, monitoring, and securing your clusters using a structured and organized approach. By the end of this book, you will have grasped all the practical understanding needed to design, develop, administer and scale MongoDB-based database applications both on premises and on the cloud.
Table of Contents (22 chapters)
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1
Part 1 – Basic MongoDB – Design Goals and Architecture
4
Part 2 – Querying Effectively
11
Part 3 – Administration and Data Management
16
Part 4 – Scaling and High Availability

Summary

In this chapter, we dived deep into the aggregation framework. We discussed why and when we should use aggregation as opposed to simply using MapReduce or querying the database. We went through a vast array of options and functionalities for aggregation.

We discussed the aggregation stages and the various operators, such as Boolean operators, comparison operators, set operators, array operators, date operators, string operators, expression arithmetic operators, aggregation accumulators, conditional expressions, and variables, along with the literal parsing data type operators.

Using the Ethereum use case, we went through aggregation with working code and learned how to approach an engineering problem to solve it.

Finally, we learned about the limitations that the aggregation framework currently has and when to avoid them.

In the next chapter, we will move on to the topic of indexing and learn how to design and implement performant indexes for our read and write...

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Mastering MongoDB 6.x
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