About this document
Understanding Document-Oriented Databases by Karthik Amarnath is a document available to read on EtoBox.
- Document oriented databases store data in flexible documents rather than rigid tables and rows. Documents can contain different data types including embedded documents and arrays. - Documents are organized into collections and can be retrieved based on their contents using various indexing and querying methods. MongoDB is an open source, document oriented database that scales horizontally. - MongoDB provides features like embedded documents, dynamic queries, replication, and sharding that allow for flex
- Author
- Karthik Amarnath
- Language
- EN