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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 Stream Processing (preview)

In the realm of data processing and management, the ability to handle streaming data efficiently has become paramount. MongoDB Atlas Stream Processing is a transformative feature that allows you to build event-driven applications by continuously processing streams of data. This feature offers a unified developer experience for all data, whether in motion or at rest.

With the introduction of Atlas Stream Processing, MongoDB has taken a significant step forward in addressing the challenges associated with event-driven applications.

Operational mechanism

Atlas Stream Processing provides a seamless connection to critical data, whether it resides in MongoDB via change streams or in an event streaming platform such as Apache Kafka. It allows you to effortlessly connect to various platforms including Confluent Cloud, Amazon MSK, Redpanda, Azure Event Hubs, or a self-managed Kafka instance utilizing the Kafka wire protocol. By integrating with the...

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