The MongoDB Admin course is a comprehensive program designed to equip learners with the skills needed for effective database administration within MongoDB, a popular NoSQL database. MongoDB is a leading NoSQL database designed for modern, high-performance applications. As a document-oriented database, MongoDB stores data in JSON-like documents, allowing for greater flexibility and scalability compared to traditional relational databases. Its ability to handle unstructured data, combined with high availability and real-time data processing, makes MongoDB essential for companies building data-driven applications. Learning MongoDB Administration equips IT professionals with the skills to manage databases effectively, ensuring optimal performance, scalability, and security. With features like replication, sharding, and indexing, MongoDB supports the demands of both small businesses and large enterprises.
Course Objectives:
In this course, you will learn to:
- Understanding MongoDB's Core Concepts: Gain a comprehensive introduction to MongoDB and its document-oriented database model.
- CRUD Operations: Master creating, reading, updating, and deleting (CRUD) documents within MongoDB collections.
- Indexing Strategies: Learn how to create and manage indexes to optimize database performance.
- Complex Queries: Develop the skill to construct complex queries and aggregate data effectively using MongoDB's powerful querying capabilities.
- Aggregation Framework: Understand the aggregation framework for data analysis and gain insights into MongoDB's data aggregation operations.
- Transactions Management: Acquire knowledge about multi-document transactions and their application within MongoDB.
- Replica Set Configuration: Learn to set up and manage a replica set for high availability and read scaling.
- Sharding Implementation: Understand the principles of horizontal scaling by configuring sharding and selecting appropriate shard keys.
- Performance Monitoring: Grasp the tools and practices for monitoring MongoDB's performance and diagnosing issues.
- Security and Backup: Learn best practices for securing MongoDB instances and performing backups to protect data integrity.
Course content
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
Introduction to MongoDB
- Architecture
- MongoDB Tools
- Types of Data
- Database, Collection, Documents
- Create, Insert, Update, Delete, find
- Data Types
- Mongo Shell
Create Update and Delete Documents
- Inserting & Saving Documents
- Batch Insert
- Insert Validation
- Removing Documents
- Remove Speed
- Updating Documents
- Document Replacement
- Using Modifiers
- Upsert
- Updating Multiple Documents
- Setting Write Concern
Querying Documents
- Introduction to find method
- Query Criteria
- Type Specific Queries
- Cursors
- Database Commands
- Getting Help
Schema Design and Data modeling
- Dynamic Schema
- What is Data modeling?
- RDBMS and MongoDB Data modeling difference
- Embedding Document
- Reference Document
Indexing
- Introduction to Indexing
- Query Execution Plan
- When not to index
- Types of indexes
- Index Administration
- GeoSpatial support in MongoDB
Replication
- Introduction to replication
- Setting up a Replica Set Part 1
- Configuration Options
- Network Consideration
- Security Consideration
- Setting up a Replica Set Part 2
- Observing Replication
- Testing automatic failover
- Changing Replica Set configuration
Database Administration
- 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
Sharding
- Introduction to sharding
- Components of a cluster
- Sharding on a single machine cluster
- Configuring sharding
- Shard chunks• Querying from the shard
- Choosing a shard key
- Sharding across multiple servers
- Databases in the config server
- The mongos Processes
MongoDB Security
- Enable authorization and enforce authentication
- Built-in roles
- Creating users
- Creating user-defined roles
- Granting roles to users
- Revoking roles from users
- Dropping Roles
- Dropping users
- Displaying the privileges of a Role
Backup & Recovery
- Introduction to backup
- Data File Backup
- Mongodump
- Mongorestore
- Mongoimport
- Mongoexport
Scalability
- Concept of Scalability
- Sharding concept
- Sharkey and Chunks
- Choosing Sharkey
- Sharding components
- Types of Sharding
- Balanced data distribution
- Sharded and Non-sharded collection
- Sharded Replicaset
- Tag aware sharding
Monitoring and Other Tools
- MMS Manager
- Ops Manager
- Mongo utility commands
- Mongo developer tools
- MongoDB Atlas
- MongoDB client drivers
MongoDB on the Cloud
- Understand MongoDB Stitch
- Learn MongoDB Atlas
- Use Cloud products in MongoDB deployments
- Knowing MongoDB Cloud products
Diagnostics & Troubleshooting
- Troubleshoot slow queries
- Diagnose connectivity problems
- Understand diagnostic tools
- Learn common production issues
- Learn fixes and solutions.
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Course Prerequisites
- Basic understanding of database concepts: Familiarity with the core concepts of how databases work, including collections, documents, and CRUD operations (Create, Read, Update, Delete).
- Fundamental knowledge of JSON/BSON data formats: Since MongoDB uses BSON, a binary version of JSON, for data storage, it's important to understand these formats.
- Working knowledge of command line interface (CLI): Comfort with using the command line is beneficial, as MongoDB can be interacted with through its shell.
- Experience with a programming language: While not mandatory, having programming experience (in any language, though JavaScript is particularly relevant) can help in understanding how applications interact with MongoDB.
- Basic understanding of networking concepts: Knowledge of IP, DNS, and general network configuration, which will assist in understanding connectivity with MongoDB instances.
- Familiarity with system administration tasks: Understanding fundamental system administration tasks, especially in a Linux environment, is helpful for managing MongoDB installations and environments.
Who can attend
- Database Administrators
- System Administrators
- Data Architects
- Backend Developers interested in database management
- IT Professionals looking to specialize in NoSQL databases
- Database Analysts seeking to upgrade their skills
- DevOps Engineers responsible for database setup and maintenance
- Technical Leads managing database teams
- Software Engineers aspiring to understand MongoDB architecture
- Data Scientists requiring knowledge in managing large datasets with MongoDB
- IT Managers overseeing database infrastructure
- Cloud Database Engineers working with MongoDB on cloud platforms
- Technology Consultants advising on database solutions
- Full-stack Developers who want to deepen their understanding of the database layer
Number of Hours: 30hrs
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