Learning MongoDB

This course is a step-by-step tutorial on understanding how to get the best out of MongoDB. It has a repository at your disposal, additional resources, and high-resolution diagrams to make learning a piece of cake. Master MapReduce and the MongoDB aggregation framework for sophisticated manipulation of large sets of data. Manage databases and collections, including backup, recovery, and security.

  • 39 Lectures
  • Discover how to secure your data using SSL, both from the client and via programming languages.
  • Install MongoDB on Linux and Windows, both manually and using packages
    Call Me

    Self-Paced

    batch loading...

    Course Features

    Related Courses

    About Learning MongoDB

    Businesses now have access to more data than ever before, and a key challenge is how to ensure that data can be easily accessed and used efficiently. MongoDB makes it possible to store and process large sets of data in ways that drive up business value. The flexibility of unstructured storage, combined with robust querying and post processing functionality, make MongoDB a compelling solution for enterprise big data needs.

    Learning MongoDB will show you how to install, configure, and secure MongoDB to meet the demands of modern enterprise data systems. You will quickly master data management, queries, post processing, and essential enterprise redundancy requirements to achieve high availability and fast response times.

    The course begins with installation instructions and moves on to the essential features, covering advanced data manipulation and high availability. Then, topics such as backup and recovery are covered. Advanced data analysis is demonstrated using both MapReduce and the MongoDB aggregation framework with clear diagrams and examples.

    Course Objectives
    • Install MongoDB on Linux and Windows, both manually and using packages
    • Configure MongoDB to autostart and access your data using the command line and GUI clients
    • Learn how to manage databases, including creation, pruning, backup, and recovery to fulfil your big data needs
    • Master how to create map and reduce functions using step-by-step diagrams and examples
    • Understand replica sets, failover verification, responsiveness, and load balancing for large scale applications
    • Discover how redundancy and filesystem choices impact security
    Curriculum
    Module 1:

    Getting Started

    • Downloading and Installing Linux
    • Downloading and Installing Windows
    • Configuring Startup with a System (Service Integration)
    • Using the Command-line Tool
    Module 2:

    Json And Data Operations

    • An Overview of JSON
    • Schemaless but Structured
    • Adding Data to MongoDB
    • Querying Data in MongoDB
    • Advanced Queries, Regex, Projection, and Fields
    Module 3:

    Working With Databases

    • Pruning Data from MongoDB
    • Backing Up a Database
    • Restoring a Database
    • Other Redundancy Mechanisms
    Module 4:

    Mapreduce

    • MapReduce Overview and Background
    • Creating a Map Function
    • Creating a Reduce Function
    • Advanced MapReduce Functionality
    • When to Use MapReduce
    Module 5:

    The Aggregation Framework

    • An Overview of the Aggregation Framework
    • Single Purpose Aggregation
    • Pipeline Components
    • Example Usage
    • Expression Operators
    Module 6:

    Ssl Security And Programmatic Access

    • SCons and Memory Requirements Used to Build MongoDB
    • Verifying and Distributing the Build
    • Authentication and Authorization
    • Accessing MongoDB Using PHP
    • Accessing MongoDB Using Python
    Module 7:

    Replica Sets And Scaling

    • Types of Nodes
    • Building a Replica Set
    • Verifying Failovers
    Module 8:

    Advanced Topics And Hosting

    • Sharding and Ultrascale
    • Sharding Example
    • MMS Setup
    Instructor

    Daniel Watrous is a 15-year veteran of designing web-enabled software. His focus on data store technologies spans relational databases, caching systems, and contemporary NoSQL stores. For the last six years, he has designed and deployed enterprise-scale MongoDB solutions in semiconductor manufacturing and information technology companies. He holds a degree in electrical engineering from the University of Utah, focusing on semiconductor physics and optoelectronics. He also completed an MBA from the Northwest Nazarene University. In his current position as senior cloud architect with Hewlett Packard, he focuses on highly scalable cloud-native software systems. He also owns a small software company and actively documents much of his work on his site http://software.danielwatrous.com/.

    Certification

    A test will be conducted at the end of the course. On completion of the test with a minimum of 70% marks, training.com will issue a certificate of successful completion from NIIT.

    Five re-attempts will be provided in case the candidate scores less than 70%.

    A Participation certificate will be issued if the candidate does not score 70% after five attempts.

    Pre-requisites

    Basic Database skills.

    FAQs

    Who should go for this Course?

    To fill the huge demand for NoSQL developers and MongoDB developers, this course is a prome choice. MongoDB developers are currently among the most desirable professionals in Web Database field.

    Where can I find my session schedule?

    The session schedule will be available in the training.com Student portal - Learning Plan section. You can login to your training.com account to view the same.

    What is your refund policy?

    Upon registering for the course, if for some reason you are unable or unwilling to participate in the course further, you can apply for a refund. You can initiate the refund any time before start of the second session of the course by sending an email to support@training.com , with your enrolment details and bank account details (where you want the amount to be transferred). Once you initiate a refund request, you will receive the amount within 21 days after confirmation and verification by our team. This is provided if you have not downloaded any courseware after registration.

    Why is it called Self Paced course?

    Self Paced courses are comprised of several learning videos into a course structure broken down into Learning Modules and Sessions. The learner is required to go through the videos topic-wise in the structure sequence of the course to learn the concepts. Being Self Paced, there is no intervention of any external faculty or additional mentor in learning.

    Being a self paced course, how will my attendance be tracked and marked?

    you login into your training.com account to watch the videos, attendance for it will be marked automatically.

    How will the assessment be conducted for my certification?

    After each module, a multiple choice questions type online assessment will be conducted. 5 Attempts will be allowed for the assessment to be completed. The minimum pass percentage for each assessment is 70%. On successfully clearing the assessment, a verified certificate from NIIT shall be awarded otherwise the certificate of participation will be issued.

    What are the minimum system requirements to attend the course?

      Minimum system requirements for accessing the courses are:

    • Personal computer or Laptop with web camera
    • Headphone with Mic
    • Minimum 4 Mbps broadband connection

    Is there an official support desk for technical guidance during the training program?

    Yes.For immediate technical support during the live online classroom sessions, you can call 91-9717992809 or 0124-4917203 between 9:00 AM and 8:00 PM IST. You can write to support@training.com for all other queries and our team will be happy to help you.

    Course Features

    batch loading...

    Related Courses

    AI and Deep Learning with TensorFlow
    AWS Certification and Training Program
    Administration Essentials for New Admins- Salesforce
    Advanced Data Mining projects with R
    Advanced Pay Per Click
    Advanced Program in Data Sciences
    Advanced Social Media Marketing
    Analyzing and Visualizing Data with Excel
    Analyzing and Visualizing Data with Power BI
    Android Game Development for Beginners
    Application Development with Swift 2
    Automated UI Testing in Java
    Big Data Analytics with R
    Big Data Applications using Hadoop
    Building Android Games with OpenGL ES
    Building Applications with Ext JS
    Building Applications with Force.com
    Building a Data Mart with Pentaho Data Integration
    Building iOS 10 Applications with Swift
    Builiding web application with spring MVC
    Business Analytics using R from KPMG
    Certified Digital Marketing Professional
    Complete Web and Social Media Analytics
    Data Quality 9.x: Developer, Level 1
    Data Science Orientation
    Data Science with R
    Data Science with Spark
    DevOps Certification Training
    Developing Microsoft SharePoint® Server 2013
    Enabling and Managing Microsoft Office 365
    Executive Program in Applied Finance
    Executive Program in Digital and Social Media Marketing Strategy
    Getting Started with R for Data Science
    Getting started with Apache Solr Search Server
    IBM Cognos Connection and Workspace Advanced
    Implementing Microsoft Azure Solutions-70-533
    Informatica PowerCenter 9.x Level 1
    Introducing Rails 5 Learning Web Development the Ruby Way
    Introduction to ITIL
    Java Enterprise Apps with DevOps
    Joomla Certification Training Program
    Julia for Data Science
    LEAD (Learn. Enhance. Aspire. Deliver)
    Learning Android N Application Development
    Learning Data Mining with R
    Learning Joomla 3 Extension Development
    Learning MongoDB
    Learning R for Data Visualization
    Learning Spring Boot
    Learning Swift 2
    Linux shell scripting solution
    Machine Learning with Python
    Marketing Analytics Data Tools and Techniques
    Master AngularJS 2
    Mastering Magento
    Open Source Web App Development using MEAN Stack
    PMI® Agile Certified Practitioner Training
    Pentaho Reporting
    Post Graduate Certificate in General Management (PGCGM)
    Programming Using Python
    Programming with Python for Data Sciences
    Project Management Professional (PMP®) Training
    R Data Mining Projects
    R for Data Science Solutions
    Reactive Java 9
    SAS Certification Training Program
    Secrets of Viral Video Marketing
    Selenium with Java
    Six Sigma Certification Training Program
    Spring Security
    Supply Chain Management(SCM) Training Program
    Teradata Certification Training
    Test Driven Android
    UNIX Shell Scripting Training
    Web Apps Development using Node.js along with Express.js and MongoDB
    Web Apps Development with HTML5, CSS3, jQuery & Bootstrap
    Web Development with Node.JS and MongoDB
    iOS App Development Certification Training
    jquery UI Development