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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

Atlas SQL Interface

The Atlas SQL Interface allows communication with MongoDB using SQL. While SQL databases, with their structured schema, have been the traditional choice for applications requiring strict data consistency, NoSQL databases (of which MongoDB is one) have emerged as favorites in scenarios demanding flexibility and horizontal scalability. MongoDB has made a substantial move to close this divide between the two databases with the launch of the Atlas SQL Interface. NoSQL databases, such as MongoDB, provide flexibility and scalability that traditional SQL databases often can't compete with.

SQL continues to be the preferred language for data analysis because of its simplicity and widespread use. This has created a demand for tools that can convert between SQL and NoSQL data models, enabling analysts to apply their existing SQL expertise and tools with NoSQL databases. The Atlas SQL Interface addresses this need by providing a way to query and analyze Atlas data...

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