Design and build solutions with the most powerful document database, MongoDB
MongoDB is a leading non-relational database. This book covers all the major features of MongoDB including the latest version 6. MongoDB 6.x adds many new features and expands on existing ones such as aggregation, indexing, replication, sharding and MongoDB Atlas tools. Some of the MongoDB Atlas tools that you will master include Atlas dedicated clusters and Serverless, Atlas Search, Charts, Realm Application Services/Sync, Compass, Cloud Manager and Data Lake.
By getting hands-on working with code using realistic use cases, you will master the art of modeling, shaping and querying your data and become the MongoDB oracle for the business. You will focus on broadly used and niche areas such as optimizing queries, configuring large-scale clusters, configuring your cluster for high performance and availability and many more. Later, you will become proficient in auditing, monitoring, and securing your clusters using a structured and organized approach.
By the end of this book, you will have grasped all the practical understanding needed to design, develop, administer and scale MongoDB-based database applications both on premises and on the cloud.
This book is for MongoDB developers and database administrators who want to learn how to model their data using MongoDB in depth, for both greenfield and existing projects. An understanding of MongoDB, shell command skills and basic database design concepts is required to get the most out of this book.
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Alex Giamas is a freelance consultant and a hands-on Lead Technical and Data Architect. Over the past 15 years, he has expertise in designing and developing systems for the UK Government (HMRC, Cabinet Office, DIT) and private sector (Amazon ProServe, PwC, Fintech Fortune 500, Yahoo!, Verizon) clients. Alex is an alumnus of the MassChallenge London cohort as the co-founder and CTO of a digital health startup. Alex has authored Mastering MongoDB 3.x and 4.x, both by Packt Publishing. Alex has developed large-scale robust, distributed software systems in Python, JavaScript, Ruby, and Java. He is a MongoDB Certified Developer, a Cloudera Hadoop Certified Developer with Data Science Essentials, and a Carnegie Mellon and Stanford graduate.
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