Mongo DB for Developers Training

Learning Objective:

In this module, you will get an understanding of CRUD Operations and their functional usage. You will learn how to perform read/write operations with CRUD.  

• Features
• Document database
• JSON

Hands-on: 

After completing this module, you should be able to:

• Understand MongoDB's development and production architecture 
• Understand read and write concepts of MongoDB
• Understand how Journaling works
• Use Mongo shell for CRUD operations
• Understand different MongoDB data types 

Learning Objective: 

Post completion of this module you'll be able to understand how to perform data Modelling with the relevant knowledge and skills on Types of Data Modelling, Data Model References,  Use Case of Data modelling.

• Data model
• Query model
• Data management

Hands-on: 

Designing schema 

• 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. 

Learning Objective: 

Post completion of this module you'll be able to understand how to install and configure MongoDB with Java Driver.

• Driver support
• Initial setup
• Interacting with MongoDB

Hands-on: 

Creating users and assigning roles ,etc

Learning Objective: 

Post completion of this module you'll learn CRUD operations, MongoDB built in functions and basics of all the MQL ( MongoDB Query Languages).

• MongoDB terminologies
• Documents and Collections
• Arrays
• Cursor

Hands-on: 

CRUD, MQL

Learning Objective: 

Post completion of this module you'll learn how indexes work in MongoDB and how to create and use them.

• Document structure
• Reference data considerations
• Embedded data
• Atomic operations
• Document growth considerations
• Data use and performance
• Capped collections
• GridFS

Hands-on: 

Creating various types of Indexes

Learning Objective: 

Post completion of this module you'll learn how to analyze and fine tune queries in MongoDB.

• Using various commands/tools to analyse the queries.

Hands-on: 

Testing Backup & Recovery

Learning Objective: 

Post completion of this module you'll learn the high availability architecture  knowledge with following concepts.

• Understand the concepts of replica set
• Understand the concept of Replication in MongoDB  
• Create a production like Replica Sets
• Introduction to Replication (High Availability) Concepts around Replication 

Hands-on: 

Creating multi member replica Sets with various configurations to understand the concepts better.

• Write Concern, Write Concern Levels, Write Concern for a Replica Set, Modify Default Write Concern
• Read Preference, Read Preference Modes, Blocking for Replication, Tag Set
• Configure Tag Sets for Replica set . Replica Set Deployment Strategies . Replica Set Deployment Patterns, Oplog File, Replication State and Local Database . Replication Administration

Learning Objective: 

After completion of this module, you'll learn how complex queries can be achieved by AF.

• Aggregation to Introduction
• Approach to Aggregation
• Type of Aggregation (Pipeline, MapReduce & Single Purpose)
• Aggregation pipelines
• Map-reduce
• Single purpose aggregation

Hands-on: 

Handson with AF Complex Queries

Learning Objective: 

Post completion of this module you'll be able to understand how horizontal scalability works in MongoDB with following concepts:  Sharded Cluster Deployment, Sharded Cluster Maintenance, Sharded Cluster Data Management, Troubleshoot Sharded Clusters.

• What is a Shard?
• Concepts around Sharding, what is shards, Key,
• Config Server, Query Router etc.
• How to setup a Sharding,
• Type of Sharding (Hash Based, Range Based etc.), and Managing Shards.
• Choosing a Shard Key
• Range-Based Shard Key
• Hash-Based Sharding.
• Impact of Shard Keys on Cluster Operation
• Production Cluster Architecture
• Config Server Availability
• Production Cluster Deployment
• Add Shards to a Cluster
• Enable Sharding for Database and a Collection
• Maintaining a Balanced Data Distribution
• Splitting
• Chunk Size and Type
• Shard Balancing
• Customized Data Distribution with Tag Aware Sharding ,Tag Aware 
• Sharding

Hands-on:  

• Sharded Cluster Deployment,
• Sharded Cluster Maintenance,
• Sharded Cluster Data Management,
• Troubleshoot Sharded Clusters.

Learning Objective: 

Post completion of this module you'll learn how to integrate third party tools with MongoDB and will be able to build sample Applications .

• Security Introduction,
• Security Concepts,
• Security Tutorials,
• Integration of MongoDB with Jaspersoft,
• Integration of MongoDB with Pentaho, 
• Integration of MongoDB with Hadoop/Hive, 
• Integrat ion of MongoDB with Java, 
• Integration of MongoDB with GUI Tool Robomongo,
• Project on MongoDB and Java.

Hands-on:   

Integration with various Dev tools

Learning Objective: 

You'll learn how to use MongoDB tools to develop and deploy your applications. This module will also help you understand the multiple package components and advanced concepts related with MongoDB integration, Hadoop and MongoDB integration.

• 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/OpsManager (MongoDB Monitoring Service), 
• HTTP and Rest Interface, 
• Integration of MongoDB with Hadoop and Data Migration MongoDB with Hadoop (MongoDB to Hive).

Hands-on:   

Integration with Hadoop/Hive tools & App Engineering.