MongoDB was created in 2007 by 10gen software. It is a document-based database. It functions on the concept of collections and documents. A MongoDB server has multiple databases and offers very high performance along with the redundancy and easy scalability. Collection in MongoDB is usually considered as a group of documents databases that can have different types of fields. MongoDB is a set of key-value pairs having a dynamic schema i.e. common fields may carry different types of data and all documents kept in the same collection need not have the same data structure.Although being fresher in MongoDB language, if you are carrying experience and worked with RDBMS like SQL, then this small step will help you correlate with all terminologies of MongoDB.
Why MongoDB?
While building internet and business applications which are developing enormously and scale elegantly, MongoDB popularity is growing rapidly within developers of all kinds who are building applications using agile methodologies.
MongoDB is a good choice if one needs to:
- Support quick duplication developments.
- Hold and gear-up high levels of read and write traffic – MongoDB supports horizontal scaling through fragmentations, distributing data across several machines, and ease high throughput operations with large volumes of data.
- Laminates your data repository to a massive size.
- Evolve different types of deployment as the business grows.
- Store, manage and search all data sets in the form of text, geospatial, or time-series dimensions.
What is MongoDB?
- MongoDB is known as a cross-platform document-based database. Categorized as a NoSQL database, MongoDB avoids the accustomed table-oriented relational database structure that supports JSON-like documents with the dynamic structures, making the data integration in certain kinds of applications quicker and simpler.
- MongoDB is an open-source NoSQL database set down in C++ language. It uses JSON-like documents with elective schemas.
- It is an effective and cross-platform, document-oriented database set.
- MongoDB functions on the concept of Collections and Document.
- It combines the ability to adapt out with features such as secondary indexes, range queries, sorting, aggregations, and geospatial indexes.
- MongoDB is licensed under the Server Side Public License (SSPL) and developed by MongoDB Inc.
What are some of the advantages of MongoDB?
Some advantages of MongoDB are as follows:
- MongoDB support fields, range-based, string pattern matching type queries for looking for the data in the database.
- MongoDB supports primary and secondary indexes on any pattern of the database.
- MongoDB usually makes use of JavaScript objects in place of procedures.
- MongoDB uses a dynamic database structured framework.
What are some features of MongoDB?
- Indexing: It helps with generic secondary indexes and makes availability of unique, compound, geospatial, and full-text indexing capabilities.
- Aggregation: It provides an aggregation database set based on the concept of data processing pipeline.
- Collection and index types: It supports time-to-live (TTL) collections for data that expire after a certain period of time.
- File storage: Easy-to-use protocol for storing double size files and metadata.
- Sharding: Sharding is the process of fragmenting data up across machines.
Course Overview of MongoDB:
This MongoDB Developers and Administrators course will guide you in mastering the concepts of data modeling, query, sharding, and data duplications with MongoDB, along with its installation process, updating, and maintaining all MongoDB environments. You will learn how to work on MongoDB configuration, backup methods and operational strategies.
Highlights to complete your mongoDB Course :
- 49 hours of Online Bootcamp will be provided
- 3 industry-based projects with E-learning and telecom domains
- 6 hands-on lab exercises to be executed virtually in MTSS
- 60 demos pre-lectures for explaining key concepts
Skills Covered for being an Big Data Engineer while learning MongoDB:
- Writing Java and NodeJs applications
- Operating CRUD operations in MongoDB
- Replication and sharding process
- Indexing and aggregation process
- MongoDB tools and backup methods , Replica sets will be covered
Benefits after completing MongoDB:
This MongoDB Developers and Administrators course is best suited for professionals who are determined to work on NoSQL databases and MongoDB, counting database administrators and architects, software developers and project managers, testers, system administrators, analytics, IT developers, and research professionals.
Some Important Key Learning Outcomes:
- Expertising in writing Java and NodeJS applications using MongoDB
- Master every skill of duplications and sharding data in MongoDB to enhance read/write performance and installation, configuration, and maintenance.
- Get hands-on experience, creating and managing different types of index in every query execution of MongoDB.
- Store unstructured data in MongoDB and developed skills for processing large amounts of data using MongoDB tools
- Acquire expertise in MongoDB configurations, backup methods, monitoring, and operational strategies
- Learn an in-depth understanding of how to supervise DB Notes, Replica sets, and master-slave concepts in MTSS
Demanding fields are :
- Information Technology
- Finance
- Retail
- Real Estate
- Engineering
- Hospitality Management
- Business Consulting
Job opportunities for professionals
- IT Developers
- Analytics Managers
- Information Architects
- Analytics professionals
- Experienced professionals
- Graduates in Bachelor or Master’s Degree
Conclusion :
Today just knowing how to manage databases is not adequate. Mastering the current developments and the market dominance is important in the coming decade, a great time to add MongoDB. We have collated the detailed programs so that you can get the best learning resources without wasting much time on the internet. MTSS Education Big Data Engineer program has not only provided you with the skills to develop but also gives you a certification to validate these skills and your learnings. The future scope of MongoDB is progressively increasing with the changing climate and their disciplined management work skills in a new era.