Mastering MongoDB

Course Duration: 3 Days

Course Description:

This intensive 3-day course provides a comprehensive overview of MongoDB, a popular NoSQL database. You will learn about its core concepts, data modeling, querying, and practical applications. Through hands-on exercises and real-world examples, you will gain the skills necessary to effectively leverage MongoDB in your projects.

Target Audience:

• Software Engineers

• DevOps Engineers

• Data Engineers

• Data Scientists

• Anyone interested in NoSQL databases and data modeling

Course Objectives:

Upon successful completion of this course, participants will be able to:

• Understand the core concepts of NoSQL databases and the advantages of MongoDB.

• Design and implement effective data models for MongoDB.

• Perform CRUD operations (Create, Read, Update, Delete) using the MongoDB query language.

• Utilize aggregation framework for data analysis and transformation.

• Implement indexing strategies to optimize query performance.

• Understand and use MongoDB's sharding and replication features.

• Integrate MongoDB with other applications and services.

• Troubleshoot common MongoDB issues.

Course Outline:

Day 1: MongoDB Fundamentals

• Introduction to NoSQL Databases:

  • What is NoSQL?

  • Comparison of NoSQL databases (document, key-value, graph)

  • Introduction to MongoDB

  • Key features and benefits of MongoDB

• MongoDB Installation and Setup:

  • Installing MongoDB locally or on a cloud platform

  • Connecting to MongoDB using the MongoDB shell

• Data Modeling with MongoDB:

  • Understanding documents, collections, and databases

  • Designing effective schemas for different data types

  • Hands-on exercises: Creating and populating collections

Day 2: Querying and Data Manipulation

• MongoDB Query Language:

  • Basic queries (find, findOne, count, distinct)

  • Projection (selecting specific fields)

  • Filtering data with query operators ($gt, $lt, $in, $nin, etc.)

  • Logical operators ($and, $or, $not)

  • Array operations ($push, $pull, $pop, $addToSet)

  • Update operators ($set, $inc, $rename)

  • Hands-on exercises: Performing complex queries and data manipulations

Day 3: Advanced Topics & Best Practices

• Aggregation Framework:

  • Introduction to aggregation pipelines

  • Aggregation stages (e.g., $match, $group, $project, $sort, $limit)

  • Building complex aggregation pipelines for data analysis

• Indexing:

  • Creating and managing indexes

  • Understanding the impact of indexes on query performance

  • Choosing the right index type

• Introduction to Sharding and Replication:

  • High availability and scalability with MongoDB

  • Basic concepts of sharding and replication

  • Hands-on exercises (if applicable)

• Best Practices:

  • Data modeling best practices

  • Performance optimization techniques

  • Security considerations

  • Troubleshooting and error handling

  • Q&A and Wrap-up

Note:

• This 3-day outline focuses on the core concepts and essential applications of MongoDB.

• Hands-on exercises and real-world examples are crucial for effective learning and will be incorporated throughout the course.

• This course provides a solid foundation in MongoDB and its practical applications.