Book Image

Mastering MongoDB 7.0 - Fourth Edition

By : Marko Aleksendrić, Arek Borucki, Leandro Domingues, Malak Abu Hammad, Elie Hannouch, Rajesh Nair, Rachelle Palmer
Book Image

Mastering MongoDB 7.0 - Fourth Edition

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)
4
Chapter 4: Connecting to MongoDB

Introduction to Atlas Search

In today's digital age, full-text search capabilities are a necessity for modern applications. The efficiency of search mechanisms plays a pivotal role in enhancing user experience and ensuring easy availability of relevant information. Building relevance-based application features is a complex endeavor. You don't just need to sift through vast amounts of data, but also ensure that the results are tailored to the user's intent and context. The significance of these features is profound because they streamline user interactions, fostering engagement and retention.

Atlas Search is an embedded full-text search feature in MongoDB Atlas, providing a seamless and scalable experience for building relevance-based applications, among other advanced search features. Built on Apache Lucene, Atlas Search eliminates the need to operate a separate search system alongside your database.

This chapter will cover the following topics:

  • The features...