MongoDB is an open source database that uses a record arranged information show.
MongoDB is one of a few database writes to emerge in the mid-2000s under the NoSQL standard. Rather than utilizing tables and lines as in social databases, MongoDB is based on a design of accumulations and reports. Records contain sets of key-esteem matches and are the fundamental unit of information in MongoDB. Accumulations contain sets of records and capacity as what might as well be called social database tables.
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An introduction module, provides an overview of MongoDB architecture and installation.
Understanding MongoDB Base Concepts of Database and Database Categories.
What is NoSQL? And Why NoSQL?
Benefits over RDBMS
Types of NoSQL Database
NoSQL vs. SQL Comparison
ACID & Base Property
CAP Theorem and Implementing NoSQL
What is MongoDB?
Overview of MongoDB, Design Goals for MongoDB Server and Database and MongoDB Tools
In depth Understanding of Database in MongoDB
MongoDB Collection, Documents and Key /Values etc.,
Introduction to JSON and BSON Documents, in MongoDB
Installation/Running MongoDB on various platforms like Windows, Linux, MAC OS etc.,
MongoDB Environment Setup (Live Hands on)
Usage of various MongoDB Tools available with MongoDB Package
Project: Problem Statement.
This module imparts knowledge on CRUD Operations and their functional usage along with its syntax and queries.
MongoDB Development Architecture and MongoDB Production Architecture
MongoDB CRUD Introduction
MongoDB CRUD Concepts and MongoDB CRUD Concerns (Read & Write Operations)
Concern Levels, Journalling etc.,
Cursor, Query Optimizations and Query Behavior’s in MongoDB
Distributed Read & Write Queries
MongoDB Datatypes and MongoDB CRUD Syntax & Queries (Live Hands on).
In the next level, you will learn over the Data Modelling Concepts, its approach, challenges for Data Modelling in MongoDB, Model structures and much more..
Data Modelling Concepts and Type of Data Modelling
Why Data Modelling in MongoDB?
Data Modelling Approach
Analogy between RDBMS & amp
MongoDB Data Model
MongoDB Data Model (Embedding & amp)
Linking Challenges for Data Modelling in MongoDB
Data Model Examples and Patterns
Model One-to-One Relationships with Embedded Documents
Model One-to-Many Relationships with Embedded Documents
Model One-to-Many Relationships with Document References
Model Tree Structures with Parent References
Model Tree Structures with Child References
Model Tree Structures with an Array of Ancestors
Model Tree Structures with Materialized Paths
Model Tree Structures with Nested Sets
Model Specific Application Contexts
The administration module of Mongo DB course, will train you on how to monitor database related issues and servers. Concepts like the backup and recovery methods for MongoDB, Production Notes etc..
Administration Concept in MongoDB
Health Check of MongoDB Database
Monitoring of Various issues related with Database in MongoDB
Monitoring at Server, Database and Collection Level in MongoDB
Various Monitoring Tools related to MongoDB
MongoDB Database Profiling, Locks, Memory Usage, No. of connections, page fault etc.,
Backup and Recovery Methods for MongoDB
Export and Import of Data to and From MongoDB
Run time configuration of MongoDB
Production Notes/Best Practices and Data Management in MongoDB (Capped Collections/ Expired data from TTL)
Hands on MongoDB Administrative Tasks.
Concepts like, What is replica-set and what is Master slave replication in MongoDB? along with a brief discussion over Sharding.
Introduction to MongoDB Replication (High Availability)
Type of Replication in MongoDB and How to setup a replicated cluster
Managing Replica-sets etc.,
Introduction to Sharding (Horizontal Scaling) in MongoDB
Concepts around Sharding, What are shards, Key, Config Server, Query Router etc.
How to setup a Sharding, Type of Sharding (Hash Based, Range Based etc.), and Managing Shards in MongoDB.
In this module, we will discuss about Indexing and Aggregation Framework.
Index Concepts, Index Types and Index Properties in MongoDB
MongoDB Index Creation
MongoDB Index Tutorial
MongoDB Indexing Reference
Aggregation Introduction, Approach to Aggregation, Type of Aggregation (Pipeline, MapReduce & Single Purpose) in MongoDB
Performance Tuning in MongoDB
This section gives you a brief description on the multiple package components and advance concepts related with MongoDB integration, HADOOP and MongoDB integration.
MongoDB Package Components
Configuration File Options in MongoDB
MongoDB Limits and Thresholds
Connection String URI Format/ Integration of any compatible tool with MongoDB
API and Drivers for MongoDB, MMS (MongoDB Monitoring Service)
HTTP and Rest Interface in MongoDB
Integration of MongoDB with Hadoop
Data Migration MongoDB with Hadoop (MongoDB to Hive).
In this module, we learn about Security concepts and integration of MongoDB with Jaspersoft, Pentaho, Java and a few GUI tools
Security Concepts, Security Tutorials in MongoDB
Integration of MongoDB with Jaspersoft
Integration of MongoDB with Pentaho
Integration of MongoDB with Hadoop /Hive
Integration of MongoDB with Java
Integration of MongoDB with GUI Tool Robomongo
Project on MongoDB and Java.
Schedule Network Analysis
Leads & Lags
Overview of constraints