Mango DB Course

 

Mango DB Course Overview

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 

Basic knowledge of database management systems and if you know the basic syntaxes of calling JavaScript. No problem for beginners we will start from scratch.

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.

Mango DB Course Syllabus

Introduction to MongoDB

  • NoSQL Databases
  • CAP Theorem
  • Features of MongoDB?
  • Installation overview
  • Documents
  • Collections
  • Databases
  • Starting and stopping MongoDB

Introduction to Mongo Shell

  • Basic commands in Mongo shell
  • Data Types in Mongo shell
  • Inserting and saving documents
  • Batch Insert
  • Insert Validation
  • Removing documents
  • Updating documents
  • Update top level fields
  • Update an embedded field
  • Update multiple documents
  • Replace a document

Querying data in Mongo Shell

  • Introduction to find command
  • Limitations in querying data
  • Query for All Documents in a Collection
  • Query by a Top Level Field
  • Query by a Field in an Embedded Document
  • Query by a Field in an Array
  • Specify Conditions with Operators
  • Combine Conditions

Data Aggregation

Indexes

Replication

Sharding

Pipeline Operations

$match

$project

$group

$unwind

$sort

$limit

$skip

Integrating MapReduce and MongoDB

Example 1: Finding All Keys in a Collection

Example 2: Categorizing Web Pages

Aggregation Commands

$count

$distinct

$group

Create a Single-Field Index

Create a compound index.

Indexing Embedded Documents

Indexing Arrays

When Not to Index

Types of Indexes

Unique Indexes

Sparse Indexes

Introduction to Replication

Replication in MongoDB

Replica Set Elections

Rollbacks during Replica set Failover

Heartbeats

Syncing

Replica Set Members

Primary

Secondary

Arbitary

Replica Set Read and Write Semantics

Consistency Considerations

Introduction to Sharding

Purpose of sharding

Sharded Cluster Components

Sharding in MongoDB

Data Partitioning

Maintaining a Balanced Data Distribution

Choosing a shard key

Shard Key Limitations and guidelines

Adding shards from a replica set