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About MongoDB Database

Unlock the Potential of Your Data: MongoDB Revolutionizes Database Management

MongoDB is a leading NoSQL database solution designed for flexibility, scalability, and performance in handling unstructured or semi-structured data. It’s an open-source, document-oriented database that stores data in JSON-like documents with dynamic schemas, offering developers a more intuitive way to work with data. MongoDB’s distributed architecture enables horizontal scaling, making it well-suited for handling large volumes of data across clusters of servers. With features like automatic sharding, high availability, and replication, MongoDB ensures data reliability and resilience. It’s widely used in a variety of applications, including real-time analytics, content management systems, mobile app development, and Internet of Things (IoT) applications. MongoDB’s robust query language and flexible data model empower developers to build scalable and responsive applications efficiently.

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Why Choose Tironation

Introduction (1 hour)

• Introduction to NoSQL
• What Is NoSQL?
• Why NoSQL databases are required.
• Types of NoSQL Database
• NoSQL vs SQL Comparison
• ACID & BASE Property
• CAP Theorem
• Benefits of NoSQL databases
• Installation
• Start and Stop the mongodb process

Architecture (1.5 hour)

• 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

CRUD Operations (1 hour)

• Mongodb Data Types
• Inserting, Update, Deleting the documents
• Querying the documents
• Bulk insert operation
• Updating multiple document
• Limiting documents
• Filtering documents

Schema Design and Data modeling (1 hour)

• Dynamic Schema
• What is Data modeling?
• RDBMS and Mongodb Data modeling difference
• Embedding Document • Reference Document

Indexes (30 Mins)

• Index concepts in mongodb
• Types of indexes
• Indexes and its use cases
• Creating Indexes and Managing Indexes
• Index strategies

Database Administration (1.5 hour)

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

Monitoring and Other Tools (30Mins)

• MMS Manager
• Ops Manager
• Mongo utility commands
• Mongo developer tools
• Mongodb Atlas
• Mongodb client drivers

Replication (1.5 Hour)

• Concept of replication
• ReplicaSet member roles
• Voting and Electing primary
• Role of Oplog in replication
• Read and Write Concern
• Arbiter,Hidden and Delayed replica node
• Priority settings
• Replicaset nodes health check
• Concept of resyncing the nodes
• Rollbacks during failover • Keyfile authentication

Scalability (1 hour)

• Concept of Scalability and Sharding
• Shardkey and Chunks
• Choosing shardkey
• Sharding components
• Types of Sharding
• Balanced data distribution
• Sharded and Non-sharded collection
• Sharded Replicaset • Tag aware sharding

Monitoring and Other Tools (30Mins)

• MMS Manager
• Ops Manager
• Mongo utility commands
• Mongo developer tools
• Mongodb Atlas
• Mongodb client drivers

Upgrading MongoDB to Latest Stable Version (30 mins)

• Upgrading MongoDB to Latest Stable Version
• Upgrade Process
• Post Upgrade Checks

MongoDB Performance Tuning (30 mins)

• Monitoring of Performance
• Logging database operations
• Capturing queries – Database Profiler
• Checking operating system parameters
• Explain plan-MongoDB provides an explain facility
• Measuring replication lag performance

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