This is a very extensive course in MongoDB that is one of the most widely used NoSQL tools in the Big Data domain. Some of the topics that are included in this Training are installation of MongoDB, JSON, Data Modeling and Schema Design. You will gain enough expertise in the framework of Data Monitoring, Indexing, and Aggregation.
- MongoDB is the most widely used NoSQL database application – infoworld.com
- MongoDB Database Administrator in United States can earn $129,000 – indeed.com
- The Hadoop and NoSQL Markets to reach $3.3 billion by 2017 – wikibon.com
MongoDB is a very useful NoSQL database that is being used by some of the biggest corporations in the world. Due to its versatile and scalable nature it can be used for data sets like social media, videos and so on. This certification course from Intellipaat will provide you with the right set of skills to work with NoSQL databases in the best companies.
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MongoDB Course Content
Introduction to NoSQL and MongoDB
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.
MongoDB Installation
Installing MongoDB, basic MongoDB commands and operations, MongoChef (MongoGUI) Installation, MongoDB Data types.
Importance of NoSQL
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 & document, MongoDB uses, MongoDB Write Concern – Acknowledged, Replica Acknowledged, Unacknowledged, Journaled, Fsync.
CRUD Operations
Understanding CRUD and its functionality, CRUD concepts, MongoDB Query & Syntax, read and write queries and query optimization.
Data Modeling & Schema Design
Concepts of data modeling, difference between MongoDB and RDBMS modeling, Model tree structure, operational strategies, monitoring and backup.
Data Management & Administration
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.
Data Indexing and Aggregation
Concepts of data aggregation and types, data indexing concepts, properties and variations.
MongoDB Security
Understanding database security risks, MongoDB security concept and security approach, MongoDB integration with Java and Robomongo.
Working with Unstructured Data
Implementing techniques to work with variety of unstructured data like images, videos, log data, and others, understanding GridFS MongoDB file system for storing data.
MongoDB Project
Java is one of the most popular programming languages for working with MongoDB. This project tells you how to work with the MongoDB Java Driver, and using MongoDB as a Java Developer. Become proficient in creating a table for inserting video using Java programming. Some of the tasks and steps involved are as below–
- Installation of Java
- Setting up MongoDB JDBC Driver
- Connecting to the database
- Understanding about collections and documents
- Reading and writing basics from the database
- Learning about the Java Virtual Machine libraries