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Best MongoDB Books for Beginners & Advanced 2022

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Best MongoDB Books for Beginners
Best mongodb Books for Beginners

MongoDB is very easy and you can learn it from Best mongodb Books for Beginners. MongoDB is a powerful and detailed database management solution, you will probably need about three weeks to get a good start on it.

Here is the list of the Best mongodb Books for Beginners in 2022 to learn. Read this list of Best mongodb Books for Beginners and if you found any Best mongodb Books for Beginners and Web Developers are missing please comment on the Best Mongodb Books for Beginners name so that we can add them and update the list.

MongoDB: The Definitive Guide: Powerful and Scalable Data Storage

Manage your data with a system designed to support modern application development. You’ll learn how the secure, high-performance system enables flexible data models, high availability, and horizontal scalability.

Authors Shannon Bradshaw, Eoin Brazil, and Kristina Chodorow provide guidance for database developers, advanced configuration for system administrators, and use cases for a variety of projects. NoSQL newcomers and experienced MongoDB users will find updates on querying, indexing, aggregation, transactions, replica sets, ops management, sharding and data administration, durability, monitoring, and security.

  • Work with MongoDB, perform write operations, find documents, and create complex queries
  • Index collections, aggregate data, and use transactions for your application
  • Configure a local replica set and learn how replication interacts with your application
  • Set up cluster components and choose a shard key for a variety of applications
  • Explore aspects of application administration and configure authentication and authorization
  • Use stats when monitoring, back up and restore deployments, and use system settings when deploying MongoDB

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Mastering MongoDB 4.x: Expert techniques to run high-volume and fault-tolerant database solutions using MongoDB 4.x

MongoDB is the best platform for working with non-relational data and is considered to be the smartest tool for organizing data in line with business needs. The recently released MongoDB 4.x supports ACID transactions and makes the technology an asset for enterprises across the IT and fintech sectors.

This book provides expertise in advanced and niche areas of managing databases (such as modeling and querying databases) along with various administration techniques in MongoDB, thereby helping you become a successful MongoDB expert.

This book helps you understand how the newly added capabilities function with the help of some interesting examples and large datasets. You will dive deeper into niche areas such as high-performance configurations, optimizing SQL statements, configuring large-scale sharded clusters, and many more.

You will also master best practices in overcoming database failover, and master recovery and backup procedures for database security.

  • Perform advanced querying techniques such as indexing and expressions
  • Configure, monitor, and maintain a highly scalable MongoDB environment
  • Master replication and data sharding to optimize read/write performance
  • Administer MongoDB-based applications on premises or on the cloud
  • Integrate MongoDB with big data sources to process huge amounts of data
  • Deploy MongoDB on Kubernetes containers
  • Use MongoDB in IoT, mobile, and serverless environments

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MongoDB: The Definitive Guide: Powerful and Scalable Data Storage

Manage the huMONGOus amount of data collected through your web application with MongoDB. This authoritative introduction—written by a core contributor to the project—shows you the many advantages of using document-oriented databases, and demonstrates how this reliable, high-performance system allows for almost infinite horizontal scalability.

This updated second edition provides guidance for database developers, advanced configuration for system administrators, and an overview of the concepts and use cases for other people on your project. Ideal for NoSQL newcomers and experienced MongoDB users alike, this guide provides numerous real-world schema design examples.

  • Get started with MongoDB core concepts and vocabulary
  • Perform basic write operations at different levels of safety and speed
  • Create complex queries, with options for limiting, skipping, and sorting results
  • Design an application that works well with MongoDB
  • Aggregate data, including counting, finding distinct values, grouping documents, and using MapReduce
  • Gather and interpret statistics about your collections and databases
  • Set up replica sets and automatic failover in MongoDB
  • Use sharding to scale horizontally, and learn how it impacts applications
  • Delve into monitoring, security and authentication, backup/restore, and other administrative tasks

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MongoDB Fundamentals: A hands-on guide to using MongoDB and Atlas in the real world

MongoDB Fundamentals dives into cloud computing from the very start – showing you how to get started with Atlas in the first chapter. You will discover how to modify existing data, add new data into a database, and handle complex queries by creating aggregation pipelines. As you progress, you’ll learn about the MongoDB replication architecture and configure a simple cluster. You will also get to grips with user authentication, as well as techniques for backing up and restoring data. Finally, you’ll perform data visualization using MongoDB Charts.

You will work on realistic projects that are presented as bitesize exercises and activities, allowing you to challenge yourself in an enjoyable and attainable way. Many of these mini-projects are based around a movie database case study, while the last chapter acts as a final project where you will use MongoDB to solve a real-world problem based on a bike-sharing app.

  • Set up and use MongoDB Atlas on the cloud
  • Insert, update, delete, and retrieve data from MongoDB
  • Build aggregation pipelines to perform complex queries
  • Optimize queries using indexes
  • Monitor databases and manage user authorization
  • Improve scalability and performance with sharding clusters
  • Replicate clusters, back up your database, and restore data
  • Create data-driven charts and reports from real-time data

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MongoDB in Action: Covers MongoDB version 3.0

This perfectly paced book gives you both the big picture you’ll need as a developer and enough low-level detail to satisfy system engineers. This document-oriented database was built for high availability, supports rich, dynamic schemas, and lets you easily distribute data across multiple servers. MongoDB 3.0 is flexible, scalable, and very fast, even with big data loads.

Lots of examples will help you develop confidence in the crucial area of data modeling. You’ll also love the deep explanations of each feature, including replication, auto-sharding, and deployment.

  • Indexes, queries, and standard DB operations
  • Aggregation and text searching
  • Map-reduce for custom aggregations and reporting
  • Deploying for scale and high availability
  • Updated for Mongo 3.0

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Conclusion:

Up to now, we have discussed the Best mongodb Books for Beginners, and also some Best mongodb Books for Beginners to Advanced Learners.

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