RDBMS, types of relational databases, challenges of RDBMS, NoSQL database, its significance, how NoSQL suits Big Data needs, introduction to MongoDB and its advantages, MongoDB installation, JSON features, data types and examples
Installing MongoDB, basic MongoDB commands and operations, MongoChef (MongoGUI) installation and MongoDB data types
Hands-on Exercise: Install MongoDB and install MongoChef (MongoGUI)
The need for NoSQL, types of NoSQL databases, OLTP, OLAP, limitations of RDBMS, ACID properties, CAP Theorem, Base property, learning about JSON/BSON, database collection and documentation, MongoDB uses, MongoDB write concern—acknowledged, replica acknowledged, unacknowledged, journaled—and Fsync
Hands-on Exercise: Write a JSON document
Understanding CRUD and its functionality, CRUD concepts, MongoDB query and syntax and read and write queries and query optimization
Hands-on Exercise:Use insert query to create a data entry, use find query to read data, use update and replace queries to update and use delete query operations on a DB file
Concepts of data modelling, difference between MongoDB and RDBMS modelling, model tree structure, operational strategies, monitoring and backup
Hands-on Exercise: Write a data model tree structure for a family hierarchy
In this module, you will learn MongoDB® Administration activities such as health check, backup, recovery, database sharding and profiling, data import/export, performance tuning, etc.
Hands-on Exercise: Use shard key and hashed shard keys, perform backup and recovery of a dummy dataset, import data from a CSV file and export data to a CSV file
Concepts of data aggregation and types and data indexing concepts, properties and variations
Hands-on Exercise: Do aggregation using pipeline, sort, skip and limit and create index on data using single key and using multi-key
Understanding database security risks, MongoDB security concept and security approach and MongoDB integration with Java and Robomongo
Hands-on Exercise: MongoDB integration with Java and Robomongo
Implementing techniques to work with variety of unstructured data like images, videos, log data and others and understanding GridFS MongoDB file system for storing data
Hands-on Exercise: Work with variety of unstructured data like images, videos, log data and others
Project: Working with the MongoDB Java Driver
Problem Statement: How to create table for video insertion using Java
Topics: In this project, you will work with MongoDB Java Driver and become proficient in creating a table for inserting video using Java programming. You will work with collections and documents and understand the read and write basics of MongoDB database and the Java virtual machine libraries.
Intellipaat training course on MongoDB is the most comprehensive and career-oriented. MongoDB is a widely used NoSQL tool for Big Data applications for data monitoring, indexing, and aggregation. The entire course content is in line with clearing the C100DEV: MongoDB Certified Developer Associate Exam.
As part of the training, you will be working on real-time projects and step-by-step assignments that have high relevance in the corporate world, and our curriculum is designed by industry experts. Upon the completion of the training course, you can apply for some of the best jobs in top MNCs around the world at top salaries. Intellipaat offers lifetime access to videos, course materials, 24/7 support, and course material upgrading to the latest version at no extra fee. Hence, it is clearly a one-time investment.
This course is designed for clearing the C100DEV: MongoDB Certified Developer Associate Exam conducted by MongoDB. The entire course content is in line with the certification program and helps you clear the certification exam with ease and get the best jobs in top MNCs.
As part of this training, you will be working on real-time projects and assignments that have immense implications in the real-world industry scenarios, thus helping you fast-track your career effortlessly.
At the end of this training program, there will be a quiz that perfectly reflects the type of questions asked in the certification exam and helps you score better.
Intellipaat Course Completion certificate will be awarded upon the completion of the project work (after expert review) and upon scoring at least 60% marks in the quiz. Intellipaat certification is well recognized in top 80+ MNCs like Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered, TCS, Genpact, Hexaware, etc.
A Senior Software Architect at NextGen Healthcare who has previously worked with IBM Corporation, Suresh Paritala has worked on Big Data, Data Science, Advanced Analytics, Internet of Things and Azure, along with AI domains like Machine Learning and Deep Learning. He has successfully implemented high-impact projects in major corporations around the world.
An experienced Blockchain Professional who has been bringing integrated Blockchain, particularly Hyperledger and Ethereum, and Big Data solutions to the cloud, David Callaghan has previously worked on Hadoop, AWS Cloud, Big Data and Pentaho projects that have had major impact on revenues of marquee brands around the world.