MangoDB Training & Certification
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MongoDB is an open source database management system (DBMS) that uses a document-oriented database model which supports various forms of data. It is one of the numerous nonrelational database technologies which arose in the mid-2000s under the NoSQL banner for use in big data applications and other processing jobs involving data that doesn’t fit well in a rigid relational model. Instead of using tables and rows as in relational databases, the MongoDB architecture is made up of collections and documents.
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MongoDB is a NoSQL database which stores the data in form of key-value pairs. It is an Open Source, Document Database which provides high performance and scalability along with data modeling and data management of huge sets of data in an enterprise application. MongoDB also provides the feature of Auto-Scaling. Since, MongoDB is a cross-platform database and can be installed across different platforms like Windows, Linux etc.
MongoDB is the Leading Document Database. … MongoDB’s documents are encoded in a JSON-like format, called BSON, which makes storage easy, is a natural fit for modern object-oriented programming methodologies, and is also lightweight, fast and traversable.
MongoDB A Document-Oriented Database. MongoDB is a document-oriented database from the NoSQL family. … In MongoDB, a record is a document that gets stored in a binary (JSON) format and documents are grouped together into collections. Collections are similar to the tables from relational databases.
A special virtual collection that exposes MongoDB’s database commands. … If you create a new document without a _id field, MongoDB automatically creates the field and assigns a unique BSON ObjectId. accumulator. An expression in the aggregation framework that maintains state between documents in the aggregation pipeline.
A grouping of MongoDB documents. A collection is the equivalent of an RDBMS table. A collection exists within a single database. Collections do not enforce a schema. Documents within a collection can have different fields.
The MongoDB BSON implementation is lightweight, fast and highly traversable. Like JSON, MongoDB’s BSON implementation supports embedding objects and arrays within other objects and arrays – MongoDB can even ‘reach inside’ BSON objects to build indexes and match objects against query expressions on both top-level and nested BSON keys. This means that MongoDB gives users the ease of use and flexibility of JSON documents together with the speed and richness of a lightweight binary format.
Sharding is a method for distributing data across multiple machines. MongoDB uses sharding to support deployments with very large data sets and high throughput operations. Database systems with large data sets or high throughput applications can challenge the capacity of a single server. Sharding is a type of database partitioning that separates very large databases the into smaller, faster, more easily managed parts called data shards. The word shard means a small part of a whole.