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Course Content

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In this module, you will get an understanding of NoSQL databases, design goals, requirement of NoSQL database/ MongoDB, MongoDB® architecture and introduction to JSON and BSON among others. This module will also cover the installation of MongoDB® and associated tools.
Understand NoSQL databases and their advantages
Learn JSON and BSON
Install MongoDB
After completing this module, you should be able to:
Differentiate database categories
Learn MongoDB design goals
List MongoDB tools
Describe JSON and BSON
Install MongoDB on Windows, Linux, MAC OS etc.
Setup MongoDB environment
Understanding the basic concepts of a 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, implementing NoSQL and what is MongoDB?
Overview of MongoDB, Design Goals for MongoDB Server and Database, MongoDB tools
Understanding the following: Collection, Documents and Key/ Values, etc.,
Introduction to JSON and BSON documents
Environment setup (live Hands-on) and using various MongoDB tools available in the MongoDB Package
Case study discussion

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.
Understand Data Modelling Schemas
Design Data Model relationships and tree structures
Apply Data Modelling in various real-time contexts
After completing this module, you should be able to:
Understand different concepts of data modeling in MongoDB®
Understand different types of data model
Understand the challenges of designing a data model in MongoDB®
Apply the knowledge of a real-world use case
Data Modelling Concepts
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 Tree Structures
Model Specific Application Contexts
Use Case discussion of Data modeling

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.
Insert, query, update, and delete documents
Perform distributed read/write operations
Perform query optimization
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
MongoDB Development Architecture
MongoDB Production Architecture
MongoDB CRUD Introduction, MongoDB CRUD Concepts
MongoDB CRUD Concerns (Read & Write Operations) –
Concern Levels, Journaling, etc.,
Cursor Query Optimizations, Query Behavior in MongoDB
Distributed Read & Write Queries
MongoDB Datatypes
MongoDB CRUD Syntax & Queries (Live Hands on)

In this module, you will learn the Indexing and Aggregation Framework in MongoDB®.
Create multiple types of Indexes
Manage indexes and indexing strategies
Work with Geospatial indexes
Use MapReduce framework
After completing this module, you should be able to:
Use various type of indexes in MongoDB®
Use hint, explain plan of a query
Work with Geospatial indexes
Work with Aggregation Pipeline in MongoDB®
Use MapReduce framework
Index Introduction, Index Concepts, Index Types, Index Properties
Index Creation and Indexing Reference
Introduction to Aggregation
Approach to Aggregation
Types of Aggregation (Pipeline, MapReduce & Single Purpose)
Performance Tuning.

In this module you will learn MongoDB® administrative activities such as Health Check, Backup, Recovery, Data Import/Export, Performance tuning, etc.
Administer database health, query volume, recovery goals
Determine performance characteristics
After completing this module, you should be able to:
Take database backup and restore MongoDB®
Export and import data from/ to a MongoDB® instance
Check server status and DB status
Monitor various resource utilization of a mongod instance
Understand various optimization strategies
Create capped collection
Use TTL in MongoDB®
Administration concepts in MongoDB
Monitoring issues related to 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/ best practices

In this module, you will understand the setup and configuration of MongoDB® High Availability, Disaster Recovery, and Load Balancing.
Create, deploy, and manage Replica sets
Create and administer Sharded clusters
Perform Data Partitioning with chunks
After completing this module, you should be able to:
Understand the concepts of replica set
Understand the concept of sharing in MongoDB®
Create a production like Sharded cluster
Introduction to Replication (High Availability)
Concepts around Replication
What is Replica Set and Master Slave Replication?
Type of Replication in MongoDB
How to setup a replicated cluster & managing replica sets etc.,
Introduction to Sharding (Horizontal Scaling),
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

In this module, you will learn security related with MongoDB, Integration with various tools and technology. Also, you will learn to integrate it with various reporting and Analytical tools like Pentaho, Jaspersoft etc.
Setup authentication and encryption
Integrate MongoDB with various tools and applications
After completing this module, you should be able to:
Know security concepts in MongoDB®
Understand how Authentication and Authorization works
Integrate MongoDB® with Java
Integrate MongoDB® with Hadoop, Hive, & Pentaho
Integrate MongoDB® with Jaspersoft & Robomongo
Security Introduction
Security Concepts
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
Case Study MongoDB and Java

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 to MongoDB integration, Hadoop and MongoDB integration.
Perform MongoDB packaging
Setup limits and thresholds
Integrate with R
After completing this module, you should be able to:
Use MongoDB® tools
Understand Jaspersoft integration with MongoDB®
Know other popular use case of MongoDB®
Know various API drivers available for MongoDB®
Run few query operators through http interface
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)
Integration with R

In this module, you will learn about various cloud products offered by MongoDB and how they can be used to host or manage your MongoDB deployments.
Know MongoDB Cloud products
Use Cloud products in MongoDB deployments
After completing this module, you should be able to:
Understand MongoDB Stitch
Learn MongoDB Atlas
Explore MongoDB Cloud Manager
Setup MongoDB Ops Manager
Overview of MongoDB Cloud products
Using Cloud Manager to monitor MongoDB deployments
Introduction to MongoDB Stitch
MongoDB Cloud Atlas
MongoDB Cloud Manager
Working with MongoDB Ops Manager

In this module, you will learn some of the common real-time scenarios you might find in production and how they can be fixed, once identified.
Troubleshoot slow queries
Diagnose connectivity problems
After completing this module, you should be able to:
Understand diagnostic tools
Learn common production issues
Learn fixes and solutions
Overview of tools
MongoDB Diagnostic Tools
Diagnostics Commands
MongoDB Deployment
Setup & Configuration, Scalability, Management & Security
Slow Queries
Connectivity

MongoDB Training Training FAQs

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You will never miss a lecture at Hachion You can choose either of the two options: View the recorded session of the class available in your LMS. You can attend the missed session, in any other live batch.

To help you in this Hachion, we have added a resume builder tool in your LMS. Now, you will be able to create a winning resume in just 3 easy steps. You will have unlimited access to use these templates across different roles and designations. All you need to do is, log in to your LMS and click on the "create your resume" option.

We have limited number of participants in a live session to maintain the Quality Standards. So, unfortunately participation in a live class without enrollment is not possible. However, you can go through the sample class recording and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in a class.

All the instructors at Hachion are practitioners from the Industry with minimum 10-12 yrs of relevant IT experience. They are subject matter experts and are trained by edureka for providing an awesome learning experience to the participants.

Once you complete the Hachion training program along with all the real-world projects, quizzes and assignments and upon scoring at least 60% marks in the qualifying exam; you will be awarded the Hachion verified certification. This certificate is very well recognized in Hachion affiliate organizations which include over 80 top MNCs from around the world which are also part of the Fortune 500 list of companies.

Apparently, No. Our Job Assistance program is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and assists you in finding a well-paid job, matching your profile. The final decision on your hiring will always be based on your performance in the interview and the requirements of the recruiter.

We offer three modes of Training in MongoDB Online Training Program. - Self Placed - Mentorship - Instructor-Led