In this chapter, we will learn more about how MongoDB fits into the wider big data landscape and ecosystem. We will contrast and compare MongoDB with message queuing systems such as Kafka and RabbitMQ. We will also discuss data warehousing technologies and how they can complement or replace our MongoDB cluster. Finally, we have a big data use case that will show all of the above in action and help us understand the big picture.
Mastering MongoDB 3.x
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Mastering MongoDB 3.x
By:
Overview of this book
MongoDB has grown to become the de facto NoSQL database with millions of users—from small startups to Fortune 500 companies. Addressing the limitations of SQL schema-based databases, MongoDB pioneered a shift of focus for DevOps and offered sharding and replication maintainable by DevOps teams. The book is based on MongoDB 3.x and covers topics ranging from database querying using the shell, built in drivers, and popular ODM mappers to more advanced topics such as sharding, high availability, and integration with big data sources.
You will get an overview of MongoDB and how to play to its strengths, with relevant use cases. After that, you will learn how to query MongoDB effectively and make use of indexes as much as possible. The next part deals with the administration of MongoDB installations on-premise or in the cloud. We deal with database internals in the next section, explaining storage systems and how they can affect performance. The last section of this book deals with replication and MongoDB scaling, along with integration with heterogeneous data sources. By the end this book, you will be equipped with all the required industry skills and knowledge to become a certified MongoDB developer and administrator.
Table of Contents (13 chapters)
Preface
Free Chapter
MongoDB – A Database for the Modern Web
Schema Design and Data Modeling
MongoDB CRUD Operations
Advanced Querying
Aggregation
Indexing
Monitoring, Backup, and Security
Storage Engines
Harnessing Big Data with MongoDB
Replication
Sharding
Fault Tolerance and High Availability
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