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Mastering MongoDB 7.0

Mastering MongoDB 7.0

By : Marko Aleksendrić, Arek Borucki, Leandro Domingues, Malak Abu Hammad, Elie Hannouch, Rajesh Nair, Rachelle Palmer
5 (12)
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Mastering MongoDB 7.0

Mastering MongoDB 7.0

5 (12)
By: Marko Aleksendrić, Arek Borucki, Leandro Domingues, Malak Abu Hammad, Elie Hannouch, Rajesh Nair, Rachelle Palmer

Overview of this book

Mastering MongoDB 7.0 explores the latest version of MongoDB, an exceptional NoSQL database solution that aligns with the needs of modern web applications. This book starts with an informative overview of MongoDB’s architecture and developer tools, guiding you through the process of connecting to databases seamlessly. This MongoDB book explores advanced queries in detail, including aggregation pipelines and multi-document ACID transactions. It delves into the capabilities of the MongoDB Atlas developer data platform and the latest features, such as Atlas Vector Search, and their role in AI applications, enabling developers to build applications with the scalability and performance that today’s organizations need. It also covers the creation of resilient search functionality using MongoDB Atlas Search. Mastering MongoDB 7.0’s deep coverage of advanced techniques encompasses everything from role-based access control (RBAC) to user management, auditing practices, and encryption across data, network, and storage layers. By the end of this book, you’ll have developed the skills necessary to create efficient, secure, and high-performing applications using MongoDB. You’ll have the confidence to undertake complex queries, integrate robust applications, and ensure data security to overcome modern data challenges.
Table of Contents (20 chapters)
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4
Chapter 4: Connecting to MongoDB

Technical overview of Atlas Search indexes

Atlas Search indexes are data structures that categorize data in an easily searchable format. They establish mapping between the terms themselves and the documents that contain those terms, enabling you to retrieve documents faster by using certain identifiers.

An Atlas Search index can be established on a single field or multiple fields. It is advisable to index fields that are frequently used to sort or filter your data, as this allows for the rapid retrieval of documents containing pertinent data during a query.

Index creation and management

When you set up one or more Atlas Search indexes, the mongot process is activated on the nodes in the cluster. Each mongot process communicates with the mongod process on the same node. The mongot process interacts with the backend database and opens change streams for each index to create and update search indexes.

When you create an Atlas Search index, you can specify the fields using...

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