MongoDB training is a LIVE Instructor led training delivered from January 6 - January 29 , 2020 for 16 hours over 4 weeks, 8 sessions, 2 sessions per week, 2 hours per session.

Weekly Schedule

4 weeks | Monday, Wednesday very week
5:30 PM - 07:30 PM US Pacific time each day
January 6 - January 29, 2020 US Pacific time

Please check your local date and time for first session

Features and Benefits

4 weeks, 8 sessions, 16 hours of total Instructor led LIVE training
Training material, instructor handouts and access to useful resources on the cloud provided
Practical Hands on Lab exercises provided
Actual code and scripts provided
Real-life Scenarios


MongoDB Training Course Objectives

You will learn to integrate MongoDB with - Jaspersoft, Pentaho, GUI Tool Robomongo
You will develop an expertise in writing Java and Node JS applications using MongoDB
You will troubleshoot performance issues.
You will learn about MongoDB Aggregation framework
You will learn about MongoDB Backup and Recovery options and strategies.
You will learn how to set up a replicated cluster, Managing Replica Sets

 
Who should take this training?

Analysts
Software Development Engineers
Web Development professionals
Those who want master MongoDB/NoSQL
Project Managers and Trainers
System administrators
Research professionals
Those seeking to build career in Big Data Career 

 
Course Outline
 
1. Getting Started with NoSQL and MongoDB

Types of NoSQL Database
NoSQL vs SQL Comparison
ACID & BASE Property
CAP Theorem
Benefits of NoSQL databases
Installation process
Basic commands on Mongo shell
Introduction to MongoDB
Setup MongoDB environment
Start and Stop the MongoDB process

 
2. MongoDB Installation

Download MongoDB MSI Installer Package
Installing MongoDB
Basic MongoDB operations and commands
Install MongoChef (MongoGUI)
Setup Alias shortcuts for Mongo

 
3. MongoDB Architecture

Document, Collection, Databases
JSON and BSON
Storage Engines (WiredTiger and MMAP)
Read Path
Journaling
Write Path
Working Set
Capped Collection
Oplog collection
TTL Index
GridFS

 
4. CRUD Operations

MongoDB Data Types
Inserting, Update, Deleting the documents
Querying the documents
Bulk insert operation
Updating multiple documents
Limiting documents
Filtering documents
Query optimization

 
5. Data Management and Administration

Database status
Troubleshooting issues
Current Operations
Rotating log files
Users and Roles
Copy and Clone database
DB and Collection Stats
Performance tuning
Database sharding and profiling
Explain plan
Profiling
Changing configuration files
Upgrading the database

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