MongoDB Training

MongoDB Course Online

  • 196 Enrolled
  • 28
Duration : 2 Months
Daily : 2 hours
Overview of MongoDB Online Training

Master data analytic skills using MongoDB and create and deploy scalable and performance oriented database. This MongoDB Training is designed according to the latest industry trends and standards by top our certified instructors. This course aims to provide you with skills to handle increasing data storage and demands to build complex MongoDB applications. MongoDB is a popular NoSQL document database for storing and processing large volumes of data. MongoDB uses documents, such as JSON, to store and retrieve data and takes full advantage of its data analysis capabilities. It includes a data model that can represent hierarchical relationships. This MongoDB course will qualify you for the MongoDB certification, and completing it will give you a realistic chance of finding a well-paying jobs in the MongoDB field. You will can try for various roles such as Database administrator, MongoDB dba, senior administrator, MongoDB fresher and many key positions.

MongoDB is one of the most popular general-purpose databases. Our experienced trainers are ready to answer all your questions. Our one-on-one courses are designed to create the best learning environment for you and to make learning interactive and fun. Using real project examples, you will learn how to import data into a cluster, how to use the CRUDE API, and many other important concepts.

Our MongoDB tutorials cover all areas, from beginners to advanced users. By the end of the course, you'll have learned how to use MongoDB effectively, and your career in this field will have flourished.

MongoDB Certification Key Features

  • Installation and Configuration of MongoDB
  • Understanding MongoDB architecture
  • Provide MongoDB interview questions
  • Guidance in building a good MongoDB resume
  • Mock Tests, Mock interviews
  • Flexible Timings
  • One on One sessions
  • 24*7 support
Who should learn MongoDB Online course?

This course is primarily designed for administrators, software developers, software engineers, and IT professionals who want to increase their skills or enter the MongoDB field, And also beginners who want to advance in MongoDB, and professionals who want to become certified to advance their MongoDB career.

  • Free Demo
  • 100% job Assistance
  • Flexible Timing
  • Realtime Project Work
  • Learn From Experts
  • Get Certified
  • Place your career
  • Reasonable fees
  • Access on mobile and Tv
  • High-quality content and Class videos
  • Learning Management System
  • Full lifetime access
Course Curriculum
  • Introduction to MongoDB
    • Summary of MongoDB
    • Using MongoDB Features
    • In depth knowledge of MongoDB on the Web
    • Positioning of MongoDB
    • Workings of MongoDB Applications
    • Understanding MongoDB Data Model
    • What are MongoDB Limitations?
    • Working on MongoDB Use Cases
    • In-depth knowledge of MongoDB Query Language (QL)
    • What are The CRUD Operations?
    • Understanding The find method
    • Workings of  The find One method
    • Analysis of MongoDB Query Language (QL) Example
    • How to use Inserts?
    • Differences between MongoDB vs Apache CouchDB
    • Summary briefing
  • MongoDB Data Model
    • Understanding The BSON Data Format
    • Exploring Database Terminology?
    • Understanding MongoDB Data Model
    • The _id Primary Key Field Considerations
    • What are Indexes?
    • (Traditional) Data Modeling in RDBMS
    • Understanding Data Modeling in MongoDB
    • Examples of Data Model in MongoDB
    • MongoDB Data Modeling
    • A Sample JSON Document Matching the Schema
    • How to Normalize or Denormalize?
    • Understanding MongoDB Limitations
    • What is Data Lifecycle Management?
    • Understanding Data Lifecycle Management: TTL
    • Data Lifecycle Management: Capped Collections
    • Summary
  • MongoDB Architecture
    • In-depth knowledge of MongoDB Architecture
    • What Makes MongoDB Fast?
    • Workings of Pluggable Storage Engines
    • What is Data Sharding?
    • Understanding Sharding in MongoDB
    • What is Data Replication?
    • A Sample Sharded Cluster Diagram
    • What is GridFS and its usage?
    • Getting a File from GridFS
    • Configuring MongoDB Security
    • Understanding Authentication in MongoDB
    • Explain Data and Network Encryption
    • Summary briefing
  • MongoDB Administration
    • Overview of The Admin Shell
    • Briefing of Getting Help
    • Workings of Admin Commands
    • Starting MongoDB
    • Running MongoDB JavaScript Scripts
    • Shell Helper to JavaScript Equivalent Map
    • A MongoDB Script Example
    • Connecting to MongoDB
    • What is User Authentication?
    • Authentication Options
    • Import / Export Operations
    • MongoDB Extended JSON and Strict Mode
    • Examples of Extended JSON Encoding
    • Examples of Data Import / Export
    • The Robo3T Tool
    • Robo3T Connections
    • Connection Manager
    • Viewing Databases, Collections and Documents
    • Edit Capabilities
    • What is Admin Shell
    • Summary briefing
  • Working with Data in MongoDB
    • Reading Data in MongoDB
    • The Query Interface
    • Query Syntax is Driver-Specific
    • How to use Projections?
    • Query and Projection Operators
    • MongoDB Query to SQL Select Comparison
    • What are Cursors?
    • Understanding Cursor Expiration
    • Writing Data in MongoDB
    • An Insert Operation Example
    • The Update Operation
    • Update Operation Options
    • An Update Operation Example
    • A Remove Operation Example
    • Limiting Return Data
    • What is Data Sorting and it’s uses?
    • How to Aggregate Data?
    • Understanding Aggregation Stages
    • What are Accumulators?
    • An Example of an Aggregation Pipe-line
    • What is Map-Reduce?
    • Summary
  • Indexes in MongoDB
    • Indexes in MongoDB
    • Creating an Index
    • Listing Existing Indexes
    • The Sort Order
    • Using the Explain() Method
    • Main Index Types
    • The _id Field
    • Single and Compound Indexes
    • What are Multikey Indexes?
    • Other Index Types
    • Understanding Index Properties
    • Examples of Creating Indexes with Index Properties
    • Summary briefing
  • Accessing MongoDB from Node.js
    • Getting Started
    • The Connection URL
    • How to obtaining collection?
    • How to insert documents?
    • Updating a Document
    • Querying for Documents
    • How to delete a document?
    • Connection Pooling
    • Summary briefing
  • MongoDB Java Client
    • Accessing MongoDB from a Java Client
    • The MongoDB Java Driver
    • What is synchronous driver in a Java Application?
    • Connecting to MongoDB
    • Connecting to Mongo - Legacy API
    • Connecting to Mongo - Updated API (since 3.7)
    • Connection Options and the MongoClientURI
    • Using MongoClientURI
    • Connecting to a Replica Set
    • Connecting to a Sharded Cluster
    • Connection Configuration
    • Connecting and Accessing a Collection
    • Create a Collection
    • Insert a Document
    • What is Update in MongoDB?
    • How to use Update Operators?
    • Explain Read (Find)
    • Explain Read (Find) Multiple Documents
    • How to use Delete command
    • Understanding BSON Library
    • Understanding Impedance Mismatch
    • What is Morphia Object Mapper?
    • Configuring Setup
    • What is Connecting?
    • What is Mapping?
    • What is Simple Mapping?
    • What is Saving Data?
    • Understanding Queries
    • Summary briefing
  • Securing MongoDB
    • Security Overview
    • Your Mileage May Vary
    • Security is Your Responsibility
    • First Things First
    • How to configure MongoDB Security?
    • A MongoDB Security Checklist
    • Enable Access Control and Enforce Authentication
    • Configure Role-Based Access Control
    • How to Enable Authorization?
    • Create an Admin User
    • Create a Database User
    • Protecting Data in Transit
    • Protecting Data at Rest
    • Limit Network Exposure
    • Audit System Activity
    • Using MongoDB with dedicated User
    • Running MongoDB with Secure Configuration Options
    • What is Compliance in MongoDB?
    • Summary briefing
  • MapReduce in MongoDB
    • The Client – Server Processing Pattern
    • Distributed Computing Challenges
    • MapReduce Defined
    • Google's MapReduce
    • Understanding MapReduce Phases
    • Understanding The Map Phase
    • What is The Reduce Phase?
    • MapReduce Word Count Job
    • MapReduce Shared-Nothing Architecture
    • Similarity with SQL Aggregation Operations
    • Problems Suitable for Solving with MapReduce
    • Typical MapReduce Jobs
    • Fault-tolerance of MapReduce
    • Distributed Computing Economics
    • MapReduce in MongoDB
    • Example - part 1
    • Example - part 2
    • Example – Part 3
    • Example – Part 4
    • Example – Part 5
    • Example – Part 6
    • MapReduce vs Aggregation Pipelines in MongoDB
    • Summary
MongoDB Training FAQ's

MongoDB is an open source NoSQL document database used to classify the large amounts of unstructured data that can be generated in organizations. It stores data in JSON documents that have a dynamic schema.

MongoDB certification is offered by MongoDB University, and MongoDB certification exams are held online. It is a proctored exam that can be taken at home or at one of Prometric recommended centers. We also offer an individual certification that is issued at the end of the course and is also exam-based. Our certification has a good reputation in the market and makes it easier for you to find a job.

The exam consists of multiple-choice questions that you have 90 minutes to solve.

The cost of MongoDB certification is $150 per attempt.

You will receive a recording of the lesson and electronic training materials for self-study.

Yes, you can attend a demonstration lesson and then decide if you want to continue learning.

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