MongoDB is the cutting edge database that enables organizations to change their ventures by transforming the intensity of information. The world’s most modern associations, from bleeding edge new businesses to the biggest organizations, use MongoDB to make applications at no other time conceivable at a small amount of the expense of inheritance databases. MongoDB is the quickest developing database biological system, with more than 30 million downloads, a great many clients, and more than 1,000 innovation and administration accomplices.
MongoDB is its even versatility, which makes it a helpful database for organizations running enormous information applications. Likewise, sharding enables the database to convey information over a bunch of machines. Fresher adaptations of MongoDB likewise bolster the making of zones of information dependent on a shard key.
MongoDB supports various storages and gives storage APIs that enable outsiders to build up their own storage systems for MongoDB.
MongoDB is a cross-platform document-oriented database program. Classified as a NoSQL database program, MongoDB uses JSON-like documents with schemata. MongoDB is written in C++ and developed by Mango DB Inc.
Everyone who’s interested in NoSQL databases. Both beginner and advanced MongoDB users who want to explore all the core features. This means the MongoDB Online Course certainly benefits those already in the field of computer programming and IT professionals who are looking into a job with programming. IT graduates and computer science fresher should also go for the MongoDB
You can land on job as a developer, administrator on Mango DB. This course trains you with real time scenarios to face challenges in IT companies.
Introduction to MongoDB, Mongo Shell, Querying data in Mongo Shell, Data Aggregation, Indexes Replication, Sharding, Pipeline, Operations, Integrating MapReduce and MongoDB, Aggregation Commands, Indexing Embedded Documents.
Introduction to MongoDB
Introduction to Mongo Shell
Querying data in Mongo Shell
Integrating MapReduce and MongoDB
Example 1: Finding All Keys in a Collection
Example 2: Categorizing Web Pages
Create a Single-Field Index
Create a compound index.
Indexing Embedded Documents
When Not to Index
Types of Indexes
Introduction to Replication
Replication in MongoDB
Replica Set Elections
Rollbacks during Replica set Failover
Replica Set Members
Replica Set Read and Write Semantics
Introduction to Sharding
Purpose of sharding
Sharded Cluster Components
Sharding in MongoDB
Maintaining a Balanced Data Distribution
Choosing a shard key
Shard Key Limitations and guidelines
Adding shards from a replica set