MongoDB Skill Overview
Welcome to the MongoDB Skill page. You can use this skill
template as is or customize it to fit your needs and environment.
- Category: Technical > Database management system
Description
MongoDB is a NoSQL database that provides high performance, high availability, and easy scalability. It works on the concept of collections and documents, using a flexible, JSON-like format called BSON for data storage. With MongoDB, you can create, read, update, and delete records easily. As your skills advance, you'll learn about indexing for faster query responses, data aggregation for complex queries, and replication and sharding for data distribution and redundancy. Expertise in MongoDB includes performance optimization, security measures, backup strategies, and designing large-scale applications. Knowledge of MongoDB's enterprise features and cloud services like MongoDB Atlas is also beneficial.
Stacks
MEAN,
MERN,
MEVN,
Expected Behaviors
Micro Skills
Understanding what MongoDB is
Knowing the basic features of MongoDB
Awareness of where MongoDB can be applied
Familiarity with the concept of NoSQL
Understanding the types of NoSQL databases: Key-Value, Document, Column-Family, Graph
Awareness of when to use NoSQL databases
Understanding the structure of JSON
Knowing how to read and write JSON objects
Understanding the difference between JSON and BSON
Knowing how MongoDB uses BSON
Knowing the main characteristics of SQL databases
Understanding the main characteristics of NoSQL databases
Being able to compare SQL and NoSQL databases
Understanding the advantages and disadvantages of each type
Understanding system requirements for MongoDB
Downloading the correct version of MongoDB
Installing MongoDB on different operating systems
Setting up the MongoDB environment
Starting and stopping MongoDB services
Understanding MongoDB collections and documents
Creating new documents using insert methods
Reading documents using find method
Updating documents using update methods
Deleting documents using remove methods
Understanding difference between RDBMS and MongoDB data models
Understanding BSON data format
Learning about MongoDB collections and documents
Understanding MongoDB indexes
Understanding MongoDB query language
Writing simple queries to fetch data
Using query operators like logical, comparison, etc.
Sorting and limiting results in a query
Starting and exiting the MongoDB shell
Executing commands in the MongoDB shell
Writing and executing JavaScript in the MongoDB shell
Understanding shell helpers
Understanding of index types
Creating and deleting indexes
Using explain() to analyze query performance
Understanding index properties like unique, sparse and TTL
Understanding aggregation pipeline
Using aggregation operators and expressions
Grouping data
Sorting and limiting results
Setting up a replica set
Understanding sharding principles
Configuring a sharded cluster
Managing replica sets and sharded clusters
Knowledge of MongoDB storage engines
Understanding how MongoDB uses memory
Familiarity with MongoDB's network architecture
Understanding the role of mongod and mongos processes
Connecting to MongoDB from different programming languages
Performing CRUD operations using drivers
Understanding driver-specific features and limitations
Understanding ACID properties in MongoDB
Starting and committing a transaction
Handling transaction errors
Performance considerations when using transactions
Understanding of MongoDB performance metrics
Proficiency in using MongoDB's explain() method
Knowledge of MongoDB indexing strategies
Ability to optimize MongoDB queries
Understanding of MongoDB's storage engines and their impact on performance
Understanding of MongoDB's security features
Ability to configure authentication and authorization
Knowledge of encryption at rest and in transit
Understanding of network exposure and firewall configurations
Ability to perform regular security audits
Understanding of MongoDB's backup strategies
Ability to perform hot backups with MongoDB's oplog
Knowledge of point-in-time recovery
Ability to restore a MongoDB instance or cluster from backup
Understanding of disaster recovery planning
Understanding of MongoDB's replication and sharding mechanisms
Ability to set up and maintain a MongoDB replica set
Ability to set up and maintain a MongoDB sharded cluster
Knowledge of MongoDB's auto-sharding capabilities
Understanding of operational factors like hardware selection and network configuration
Proficiency in MongoDB's query language
Ability to perform complex aggregations
Understanding of MongoDB's read and write concerns
Knowledge of MongoDB's update operators and array manipulation operators
Ability to use MongoDB's map-reduce functionality
Understanding of data partitioning and distribution strategies
Knowledge of capacity planning and hardware selection
Ability to design schema according to application needs
Understanding of trade-offs between normalization and denormalization
Proficiency in using MongoDB logs for troubleshooting
Understanding of common performance issues and their solutions
Ability to diagnose and fix replication and sharding issues
Knowledge of tools and practices for debugging MongoDB applications
Understanding of MongoDB's storage engine architecture
Knowledge of MongoDB's query execution and optimization process
Familiarity with MongoDB's concurrency control mechanisms
Understanding of how MongoDB handles transactions and consistency
Ability to design and implement data migration strategies
Understanding of ETL processes for MongoDB
Experience with MongoDB connectors for various databases
Knowledge of potential issues and solutions when integrating MongoDB with other databases
Understanding of advanced security features
Experience with enterprise-grade backup and recovery solutions
Knowledge of MongoDB Ops Manager and Cloud Manager
Understanding of in-memory storage engine and encrypted storage engine
Experience with setting up and managing MongoDB Atlas clusters
Understanding of MongoDB Stitch for serverless applications
Ability to create and interpret MongoDB Charts
Knowledge of best practices for using these tools in production environments
Tech Experts
StackFactor Team
We pride ourselves on utilizing a team of seasoned experts who diligently curate roles, skills, and learning paths by harnessing the power of artificial intelligence and conducting extensive research. Our cutting-edge approach ensures that we not only identify the most relevant opportunities for growth and development but also tailor them to the unique needs and aspirations of each individual. This synergy between human expertise and advanced technology allows us to deliver an exceptional, personalized experience that empowers everybody to thrive in their professional journeys.