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Mongo DB Course

Online Classes : 24 Hours


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Assignment : 40 Hours


Project : 20 Hours


Access : Lifetime Access


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Course Price: INR 17,995.00

Mongo DB Introduction

Weekend Batches


# Starts
1 17th Dec 2016 Buy Now
2 24th Dec 2016 Buy Now
3 14th Jan 2017 Buy Now
4 28th Jan 2017 Buy Now

Understanding of Databases, Design Goals, Requirement of NoSQL/MongoDB, Architecture of mongoDB®

Course Contents

Objective:In this module, you will get an understanding of Databases, Design Goals, Requirement of NoSQL/MongoDB, Architecture of mongoDB® etc. This Module will also cover installation of mongoDB® and associated tools.

Topics: Understanding Base Concepts of Database, Database Categories, What is NoSQL? Why NoSQL? Benefit over RDBMS, Types of NoSQL Database, and 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, MongoDB Tools, Depth Understanding of Database, Collection, Documents and Key /Values etc., Introduction to JSON and BSON Documents, Installation/Running MongoDB on various platforms Windows, Linux, MAC OS etc., Environment Setup (Live Hands on), Usage of various MongoDB Tools available with MongoDB Package, Project: Problem Statement.

Objective:In this module, you will get an understanding of CRUD Operations and their functional usage. Read/write operations with CRUD.

Topics: MongoDB Development Architecture, MongoDB Production Architecture, MongoDB CRUD Introduction, MongoDB CRUD Concepts, MongoDB CRUD Concerns (Read & Write Operations), Concern Levels, Journalling etc., Cursor, Query Optimizations, Query Behaviours in MongoDB, Distributed Read & Write Queries, MongoDB Datatypes, MongoDB CRUD Syntax & Queries (Live Hands on).

Objective: In this module, you will learn Schema Design and Data Modelling in mongoDB®. Various data structure and tools available to manage Data Model in MongoDB.

Topics:Data Modelling Concepts, Type of Data Modelling, Why Data Modelling? Data Modelling Approach, Analogy between RDBMS & MongoDB Data Model, MongoDB Data Model (Embedding & Linking), Challenges for Data Modelling in MongoDB, Data Model Examples and Patterns, Model Relationships between Documents: 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: 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: Model Data for Atomic Operations, Model Data to Support Keyword Search, Data Model References, Use Case of Data modelling.

Objective:In this module you will learn MongoDB® Administration activities such as Health Check, Backup, Recovery, Data Import/Export, Performance tuning etc.

Topics:Administration Concept in MongoDB, Health Check of MongoDB Database, Monitoring of Various issues related with Database, Monitoring at Server, Database, Collection Level, and Various Monitoring Tools related to 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/Bets Practices, Data Managements in MongoDB (Capped Collections/ Expired data from TTL), Hands on Administrative Tasks.

Objective:In this module, you will understand the setup and configuration of mongoDB® High Availability, Disaster Recovery, and Load Balancing.

Topics:Introduction to Replication (High Availability), Concepts around Replication, What is ReplicaSet and Master Slave Replication? Type of Replication in MongoDB, How to setup a replicated cluster, Managing ReplicaSets etc., Introduction to Sharding (Horizontal Scaling), Concepts around Sharding, What is shards, Key, ConfigServer, Query Router etc.? How to setup a Sharding, Type of Sharding (Hash Based, Range Based etc.), and Managing Shards.

Objective:In this module, you will learn the Indexing and Aggregation Framework in mongoDB®.

Topics:Index Introduction, Index Concepts, Index Types, Index Properties, Index Creation, Index Tutorial, Indexing Reference, Aggregation to Introduction, Approach to Aggregation, Type of Aggregation (Pipeline, MapReduce & Single Purpose) and Performance Tuning.

Objective:In this module, you will learn mongoDB® tools to develop and deploy your applications. This module will also help you understand the multiple package components and advance concepts related with MongoDB integration, Hadoop and MongoDB integration.

Topics: MongoDB Package Components, Configuration File Options, 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, Integration of MongoDB with Hadoop and Data Migration MongoDB with Hadoop (MongoDB to Hive).

Objective:In this module, you will learn security related with MongoDB, Integration with various tools and technology. Also you will see to integrate with various reporting and Analytical tools like Pentaho, Jaspersoft etc.

Topics:Security Introduction, Security Concepts, Security Tutorials, 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.