MongoDB Training

4 Rating

MongoDB is the leading and most preferred database management system in the noSQL environment.

Continual research is being done to harness the power of the integration of Hadoop and MongoDB in order to create more efficient applications.

  • There are a lot of freelancer jobs available as well, if the job seeker has Software development skills, and has knowledge of database management.
  • The application used in Big Data technologies is powered by MongoDB in real time, and provides services to the end users.
  • MongoDB makes database creation and management easier, and lets the developer focus more on application development.
  • The project at the end of the course requires you to create a database of yourself using Java and MongoDB.
  • Hadoop takes data from MongoDB, an along with data from other sources creates predictive algorithms in Machine Learning for better data analytics
  • The mock tests cover the basic concepts of MongoDB which are useful for all the advanced concepts covered in the course.
  • The online classes are real time and all features are shown practically during the classes.

Course Indication

Highlight

  • In our comprehensive MongoDB training program, we explore MongoDB in complete detail. We start by the basics, explaining what a database is, and where and how it can be used. Later on we guide you in installing the MongoDB software on your system and give you a basic idea of the environment that you would be working on. The software works on both Windows and Ubuntu, and both the methods are covered in the curriculum. By the end of the course, you will be able to create your own database using MongoDB with extreme ease and convenience.
  • Course Stats

  • By the end of 2020, noSQL will constitute of a whopping $4.2 billion market worldwide , with with a compounded annual growth rate of 35.1% in the 6 years between 2014 and 2020. This is due to the increasing popularity of cloud computing in the market, considered to be the technology of the future. 
  • Course Outcome

  • The course has been planned keeping even the newcomer in mind. The concepts are explained giving suitable examples which makes understanding a lot easier. By the end of this course, you will easily be able to create a noSQL database using MongoDB, in accordance with he requirements of the corporate world.
  • Project Workout

  • At the end of the course, you will be given a project that would apply all the concepts that you learn. This is for better understanding and visualising things in a practical manner. Online study materials are provided for reference as well. There are regular mock tests for the students, in order to gauge their progress in a much better manner.
  • Course Objectives

  • Concepts of Data Modelling
    To become adept at creating databases using MongoDB architecture
    Hadoop and MongoDB integration
  • Pre-Requisites

  • This course requires no pre-requisites, and everything will be started from scratch.
  • Learn Why

  • MongoDB is relevant because it is getting huge recognition thanks to- 
    Ease of work which boosts productivity.
    Presence of schema barrier, which makes the developer focus on building applications rather than databases. 
    Widespread support for most high level languages. 
  • check schedule

    • 04 Sep-18 Sep
    • 08AM - 11AM EST
    • MonTueWedThuFri
    • 11 Session (3 Hours Each)
    • USD 499
      USD 599
    • 16 Sep-30 Sep
    • 09AM - 05PM EST
    • SatSun
    • 5 Session (8 Hours Each)
    • USD 499
      USD 599

    En el habitual mensaje sabatino, publicado en Twitter, Download Schedule

    Talk to us for convenient Schedule get timings

    Course Curriculum

    Introduction to design, architecture and the installation

    MongoDB base concepts and categories of databases 
    NoSQL and its importance in modern day computing 
    RDBMS and its advantages 
    NoSQL database and its various types 
    Contrasts between noSQL and SQL
    Acid and Base property 
    Implementation of noSQL and CAP Theory 
    Introduction to MongoDB
    MongoDB server designing, database designing and tools to be used.
    Collection, Keys, Values and Documents in MongoDB
    Overview of JSON and BSON documents and their uses in MongoDB
    Various methods of installing MongoDB based on the operating system i.e. Windows, MacOS and Linux. 
    Setting up the MongoDB environment 
    MongoDB package and the use of various tools available in the package Introductory Project 

    Crud Operations in MongoDB

    CRUD operations in MongoDB, their syntax and queries and their usage in the MongoDB environment.
    MongoDB Development and Production Architecture  
    Introduction to CRUD in MongoDB
    Concepts of CRUD and various concerns in CRUD including read and write operations
    Concepts of Concern Levels and Journalling 
    MongoDB Cursor, Optimisation of queries and behaviour of queries 
    Distributed Read & Write Queries
    Datatypes in MongoDB and Syntax and Queries of CRUD in MongoDB platform

    Schema Design and Modelling of Data using MongoDB

    By the end of this module we will be familiar with the concepts of Data Modelling, and learn in depth on how to approach the various challenges that we face in Data Modelling using MongoDB. We also have a look at model structure and a lot of other things.
    Data Modelling Introduction- Concepts and Types 
    Need of MongoDB for data modelling 
    Approaches to data modelling 
    RDBMS and amp - The Similarities 
    Data Model in MongoDb
    Embedding and amp in MongoDB data model 
    Linking challenges in MongoDB for data modelling 
    Examples for Data Modelling and observed patterns. 
    Model Relationships between Documents in MongoDB environment:
    Model One-to-One Relationships with Embedded Documents
    Model One-to-Many Relationships with Embedded Documents
    Model One-to-Many Relationships with Document References
    Tree Structures in MongoDB: 
    Parent references 
    Child references 
    Tree Structures built with array of ancestors 
    Materialised path tree structures 
    Nested Sets Tree Structures 
    Applications of models based on the context 
    Model data to carry out atomic operations 
    Model Data to complement search of keyword using MongoDB
    References to Data Model and Data Modelling use cases. 

    MongoDB Administration

    This administration module in MongoDB makes us learn about monitoring issues related to our database and the corresponding servers. We learn more about the concepts of backup of the data and the various methods of recovery of data using MongoDB.
    Concept of Administration in MongoDB environment 
    Checking the health of the MongoDB database
    Issues faced with the Database and various ways to monitor them in MongoDB
    Monitoring of issues at lower levels like Server, Database and collection level in MongoDB
    Tools used to monitor issues in MongoDB database. 
    Profiling of database, database locks, usage of memory , connections and page faults in database handling 
    Various MongoDB methods for backup and recovery 
    MongoDB import and export of data 
    MongoDB run time configuration 
    Optimal practices in data management in MongoDB
    Administration tasks using MongoDB in real time.

    Ability to scale and availability

    In this module, we cover advanced concepts like replica-set and master-slave replication using the previous concepts of MongoDB. We also briefly discuss the concepts of Sharding.
    MongoDB replication- An Introduction
    Replication Types 
    Setting up a replication clustering MongoDB
    Managing Replica-sets
    MongoDB sharding- An Introduction 
    Key concepts of sharding like configuration sever, query router, keys etc.
    Setting up of sharding, various types and their management using MongoDB.

    Indexing and Aggregation Framework using MongoDB

    We learn about two new MongoDB frameworks in this module: Indexing and Aggregation 
    Introduction to Index
    Concepts and types of index and their properties in MongoDB
    Creating an index using MongoDB
    Tutorial to Index using MongoDB 
    Indexing Reference using MongoDB
    Introduction to Aggregation, various types and approaches to the concept. e.g. pipelining, single purpose etc. using basics of MongoDB
    Tuning performance using MongoDB

    MongoDB tools and engineering of various applications

    This module gives us an insight to the various components of package and advanced concepts that are related to MongoDB. Furthermore, we also learn integration of MongoDB to Hadoop.
    Package Components in MongoDB
    MongoDB Configuration File Options 
    Limits and Threshold Values in MongoDB
    MongoDB API and Drivers, Concept of MongoDB monitoring service 
    Rest interface and HTTP in MongoDB
    Hadoop integration with MongoDB.
    MongoDB based data migration with Hadoop.

    Case Studies and Projects Using MongoDB

    This module tells about the various security features of MongoDB and integration with various softwares like Jaspersoft, Pentaho and other GUI tools. 
    Introduction to security in MongoDB 
    Concepts of security and corresponding tutorials using MongoDB.
    MongoDB integration with Jaspersoft
    MongoDB integration with Pentaho
    MongoDB integration with Hadoop /Hive
    MongoDB integration with Java
    MongoDB integration with GUI Tool Robomongo
    Final project using concepts o MongoDB and Java. 

    job role

    MongoDB is highly in demand in the present day corporate market

    Database Administrator, Systems Engineer, Data Architect, Application Developer

    Salary report

    En el habitual mensaje sabatino, publicado en Twitter,

    A DBA i.e. a database administrator can earn an average salary of $81000 annually by the adept knowledge of MongoDB. As you continue working this can go upto $100000. A database architect who can create data models, migrate data, and can warehouse and analyse data can earn upto $107000 in the industry. Data Scientists can also use MongoDB to present data visually and make further forecasts. They are highly in demand, and it is going to further increase in the future. The average salary is high as $104000.

    MongoDB shows astonishing results on Google Search

    According to Google trends, MongoDB has thrice as many Google searches than the next best competitor noSQL database. This number is 10 times more than the competitor who came last in the survey report. Even on LinkedIn, MongoDB has been the highest listed database in the profiles of the members. MongoDB recently has been taking big shares from Oracle, which almost had a monopoly over the database market until now. This has happened mainly due to the flexibility of the MongoDB database platform which has the ability to handle huge amount of data in real time and help in meeting customer demands quickly and efficiently.

    job support

    En el habitual mensaje sabatino, publicado en Twitter,

    The average salary expected from a noSQL/BigData job is 113000 USD per annum, whereas the MongoDB software developer earns upto 102000 USD per annum. This is the highest among the jobs of the similar kind. The growth rate is exceptional and is not going to die anytime soon.

    Certificates

    Highlight

    En el habitual mensaje sabatino, publicado en Twitter, Trump aseguró que el proyecto sanitario que “se abre paso en el Congreso” reducirá el déficit federal y será asequible y de calidad, “lo contrario de la gran mentira que era Obamacare”, la reforma sanitaria del expresidente Barack Obama.

    “Si no lo sustituimos (Obamacare), la calamidad solo empeorará y quiero decir que empeorará mucho”, subrayó Trump.

    faqs

    How qualified are the trainers?

    With more than two decades of corporate experience, the trainers are the some of the best MongoDB trainers out there. They have been in the market right from the days of its inception and have knowledge of the various changes that have taken place, and the exact requirements of the recruiters.

    Is the final project important to learning the MongoDB course?

    All the concepts that you have learned using that of Database creation and handling and management will be covered in the final project, which is the best way to understand the whole course. The practical exposure to the course is provided by the project, and that is what is the most important when you go for a job. For a complete learning experience the project is highly recommended to all the students.

    Please bering into light the various refund policies for the course?

    The refund is done only if the cancellation is done within 48 hours of the initial payment time. Any time after that will not be considered by us. The money will be refunded directly back to your bank account within a month of the date of cancellation.

    Can I attend the classes anytime I want or do I have to follow the schedule?

    Anytime you want to. The videos are recorded and put up on our website. They can be accused using the desktop website or the app that is available on the Android and app store. However, it is better to attend them live for instant query and doubt clearing.

    How approachable are the trainers?

    You can reach out to all our trainers anytime using their e-mails provided on our website. Further, you can put out your doubts and queries on our MongoDB discussion page and the trainers or your peers can answer your doubts there.

    Make an Enquiry

    Request a Call Back

    Enter the characters visible in the box below

    demo content

    Get Timing

    Refer a friend

    Put your information
    Put friend details
    Submit