Mongodb Recipes: With Data Modeling and Query Building Strategies
Get the most out of MongoDB using a problem-solution approach. This book starts with recipes on the MongoDB query language, including how to query various data structures stored within documents. These self-contained code examples allow you to solve your MongoDB problems without fuss.
MongoDB Recipes describes how to use advanced querying in MongoDB, such as indexing and the aggregation framework. It demonstrates how to use the Compass function, a GUI client interacting with MongoDB, and how to apply data modeling to your MongoDB application. You'll see recipes on the latest features of MongoDB 4 allowing you to manage data in an efficient manner using MongoDB.
What You Will Learn
- Work with the MongoDB document model
- Design MongoDB schemas
- Use the MongoDB query language
- Harness the aggregation framework
- Create replica sets and sharding in MongoDB
Who This Book Is ForDevelopers and professionals who work with MongoDB.
Subhashini Chellappan is a technology education specialist with the learning and knowledge management division of Accenture. She has rich experience in both academia and the software industry. She has published a couple of books entitled Big Data Analytics and Pro Tableau. Her areas of interest and expertise are centered on business intelligence, big data, and analytics technologies.