Overview
Among the most popular and widely implemented NoSQL databases is MongoDB. Its scalability, robustness, and flexibility have made it extremely popular among the Fortune 500 and Global 500 companies who use it to implement a variety of activities including social communications, analytics, content management, archiving and other activities. This has led to an increased demand for MongoDB administrators who have the skills and attitude to handle cross functional duties. According to statistics, MongoDB professionals can earn upto $266,629 on an average, which is why this is the right time to enrol in this course and get started on a great career in Mongo.
In order to help you leverage this huge demand for MongoDB specialists, we bring you a comprehensive and hands on workshop on MongoDB. You will learn the critical aspects of MongoDB and use it to solve data management challenges. You will learn to manage MongoDB effectively by gaining expertise in MongoDB administration tools, syntax, MongoDB installations, configurations, security, troubleshooting, backup, scaling and many other features. With your skillset and expertise you will be an asset to the team and organization.
Enrol today for a brilliant career as a MongoDB database administrator.
What You Will Learn:
1. Architecture and Installation
MongoDB Installation, Client-server architecture with logical, physical files and other components
2. CRUD Operations
MQL ( MongoDB Query Language) covering CRUD and built-in functions
3. Schema Design, Data Modelling
Techniques to MongoDB's schema design and data modelling
4. Administration
DBA tasks that will be required in MongoDB Administration in Productions environments
5. Scalability and Availability
Learn how replication works in MongoDB with live demonstrations
6. Indexing Aggregation Framework
How Indexes work in MongoDB. Types of Indexes and also AF to achieve complex queries in MongoDB
7. Application Engineering
Learn how to build sample applications with Java Driver
8. MongoDB Tools
Learn various GUI tools required to perform DBA tasks
9. Project and Case Studies
Projects covering all the components of HA & HS and also case studies
Prerequisite
- Understanding of any traditional RDBMS like MySQL/Oracle is good
- Basic knowledge of JavaScript
- Basic knowledge of Linux is good
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Who Should Attend
- Those who want to master MongoDB; a leading NoSQL
- Those who want to learn MongoDB administration
Knowledgehut Experience
Instructor-led Live Classroom
Interact with our expert instructors in real-time— listen, learn, question and apply.
Curriculum Designed by Experts
Stay globally relevant and empower yourself with the latest tools and training through our in-depth curriculum.
Learn through Doing
Learn theory backed by practical case studies, exercises and coding practice that will make you ready for the industry.
Mentored by Industry Leaders
Learn from the best in the field. Our mentors are all experienced professionals in the fields they teach.
Advance from the Basics
Learn concepts from scratch, and advance your learning through step-by-step guidance on tools and techniques.
Code Reviews by Professionals
Get reviews and feedback on your final projects from professional developers.
Curriculum
Learning Objective:
After completion of this module, you'll learn about MongoDB and its basic features, functionalities, Installation, standalone Architecture.
- Differentiate database categories
- Learn MongoDB design goals
- List MongoDB tools
- Describe JSON and BSON
- 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?
- Graph Database
- 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
Hands-on:
Installing MongoDB on Windows, Linux OS etc.
Setting up MongoDB environment.
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.
- MongoDB CRUD Introduction,
- MongoDB CRUD Concepts
- 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)
- Batch Insert in MongoDB
- Ordered Bulk Insert and Unordered Bulk Insert
- Inserts: Internals and Implications
- Retrieving the documents
- Specify Equality Condition
- $in, “AND” Conditions
- $or Operator
- Specify AND/OR Conditions
- Regular Expression
- Array Exact Match
- Array Projection Operators •$Where Query
- Cursor
- Pagination
- Advance query option •Update Operation
- $SET
- $Unset and $inc Modifiers •$Push and $addToSet •Positional Array Modifications •Upsert
- Removing Documents "
Hands-on:
CRUD - MQL
Learning Objective:
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
- 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
- Data Managements in MongoDB (Capped Collections/ Expired data from TTL),
- TTL Collection Features
- GridFS
- Memory-Mapped Files
- Journaling Mechanics
- Storage Engines
- Power of 2-Sized Allocations
- No Padding Allocation Strategy
- Diagnosing Performance Issues
- Optimization Strategies for MongoDB
- Configure Tag Sets for Replica Set . Optimize Query Performance
- Monitoring Strategies for MongoDB . MongoDB Utilities
- MongoDB Commands
- MongoDB Management Service (MMS)
- Data Backup Strategies in MongoDB
- Copying Underlying Data Files
- Backup with MongoDump
- Fsync and Lock
- MongoDB Ops Manager Backup Software
- Security Strategies in MongoDB
- Authentication Implementation in MongoDB . Authentication in a Replica set
- Authentication on Sharded Clusters
- Authorization
- End-to-End Auditing for Compliance
Hands-on:
Create capped collection, Use TTL in MongoDB
Learning Objective:
In this module, you'll learn end-to-end user management.
- Create a User Administrator.
- Add a User to a Database.
- Create/Assign User a Role.
- Verify/Modify a User Access/Privileges.
- Change a User’s Password.
Hands-on:
Creating users and assigning roles ..etc
Learning Objective:
In this module, you'll learn - Integration with various tools and technology. Also, you will learn to integrate it with various reporting and Analytical tools.
- Knowing security concepts in MongoDB
- Understand how Authentication and Authorisation works
- Security Introduction
- Security Concepts
Hands-on:
Enabling Security Integration Scenarios
Learning Objective:
In this module, you'll learn how indexes work in MongoDB and how to create and use them.
- Index Introduction,
- Index Concepts,
- Index Types
- Index Properties
- Index Creation and Indexing Reference
- Introduction to Aggregation
- Aggregation Approach to Aggregation sort Order
- Pipeline Operators and Indexes
- Text Indexes
- Aggregate Pipeline Stages
- Text Search
- MapReduce
- Index Creation
- Aggregation Operations
- Index Creation on Replica Set
- Remove, Modify, and Rebuild Indexes
- Listing Indexes
- Measure Index Use
- Control Index Use
- Index Use Reporting
- Geospatial Indexes
- MongoDB’s Geospatial Query Operators
- GeoWith Operator
- Proximity Queries in MongoDB Performance Tuning. "
Hands-on:
Creating various types of Indexes.
Learning Objective:
In this module, you'll learn various backup strategies in MongoDB and recovery methods including PIT
- Import and Export MongoDB Data
- Restore and recovery of MongoDB(Including point in time Recovery)
- Restore a Replica Set from MongoDB Backups
- Recover Data after an Unexpected Shutdown
- Backup and Restore with Filesystem Snapshots
- Back Up and Restore with MongoDB Tools
- Backup and Restore Sharded Clusters
Hands-on:
Testing Backup & Recovery
Learning Objective:
In this module, you'll understand the concepts of replica set
- Understand the concept of Replication in MongoDB® • Create a production like Replica Set
- 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.,
- Master-Slave Replication
- Replica Set in MongoDB
- Automatic Failover
- Replica Set Members
- 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
Hands-on:
Creating multi member replica Sets with various configurations to understand the concepts better.
Learning Objective:
In 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)
- Performance Tuning
Hands-on:
Hands-on with AF Complex Queries
Learning Objective:
In this module, you'll learn end-to-end Sharding workflow and its components, fuctionality.
- What is a Shard?
- Concepts around Sharding, 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:
This module is an introduction to MongoDB Stitch, MongoDB Cloud Atlas, Working with MongoDB Ops Manager.
- Understand MongoDB Stitch
- Learn MongoDB Atlas
- Use Cloud products in MongoDB deployments
- Knowing MongoDB Cloud products
Hands-on:
MongoDB Cloud Manager – exploring.
Learning Objective:
In this module, we'll observe the usual issues and how to debug, fix them with MongoDB Production.
- Troubleshoot slow queries
- Diagnose connectivity problems
- Understand diagnostic tools
- Learn common production issues
- Learn fixes and solutions.
Hands-on:
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.
Learning Objective:
In this module, you'll learn any new features added by the time we're taking this course or any misc concepts.
- New features/concepts released at that moments if any
- Any concepts with special interests
- Misc concepts if any
reviews on our popular courses
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The Course
MongoDB is a robust, flexible and scalable NoSQL database, factors that have made it extremely popular with organizations across sectors. Fortune 500 and Global 500 companies such as Disney, eBay and Facebook have adopted it for their social communications, analytics, content management, archiving and other activities. Our MongoDB course has been designed to help you learn the skills that will land you a job as a MongoDB developer. You will not only learn the basic and advanced concepts but will practically apply them to a project and get ready for the industry. The curriculum has been designed by industry experts who will make sure that you learn the skills that will help you on the job front.
MongoDB is among the fastest growing database technologies today and the leading NoSQL database among Fortune 500 companies. It is popular because it allows the creation of scalable applications, is cost effective and allows organizations to create better data management strategies. This is more than enough reason for you to enrol in this course.
You will:
- Get basic to advanced knowledge of Administration of MongoDB
- Be proficient with MongoDB features and functionalities
By the end of the course, you will have:
- Completed several hands-on examples, 2 course projects which gives you basic to immediate skills of MongoDB Administration
- Prepared yourself with the foundational knowledge you need to begin a career of continuous learning
There are no restrictions but participants would benefit if they have elementary knowledge of any RDBMS & Javascript.
Yes, KnowledgeHut offers this training online.
On successful completion of the course you will receive a course completion certificate issued by KnowledgeHut
Your instructors are MongoDB experts who have years of industry experience.
Finance Related
Any registration cancelled within 48 hours of the initial registration will be refunded in FULL (please note that all cancellations will incur a 5% deduction in the refunded amount due to transactional costs applicable while refunding) Refunds will be processed within 30 days of receipt of written request for refund. Kindly go through our Refund Policy for more details: http://www.knowledgehut.com/refund
KnowledgeHut offers a 100% money back guarantee if the candidate withdraws from the course right after the first session. To learn more about the 100% refund policy, visit our Refund Policy.
The Remote Experience
In an online classroom, students can log in at the scheduled time to a live learning environment which is led by an instructor. You can interact, communicate, view and discuss presentations, and engage with learning resources while working in groups, all in an online setting. Our instructors use an extensive set of collaboration tools and techniques which improves your online training experience.
Once you register for the course you will be provided with system requirements and lab setup document which contains detailed information to prepare the environment for the course.