MongoDB Certification Training

Learning Objective: In this module, you will get an understanding of NoSQL databases, design goals, requirement of NoSQL database/ MongoDB, MongoDB® architecture and introduction to JSON and BSON among others. This module will also cover the installation of MongoDB® and associated tools. After completing this module, you should be able to:

• Understand NoSQL databases and their advantages
• Differentiate database categories
• Learn MongoDB design goals
• List MongoDB tools
• Describe JSON and BSON
• Install MongoDB on Windows, Linux, MAC OS etc.
• Setup MongoDB environment

Topics:

• Understanding the basic concepts of a Database
• Database categories: What is NoSQL? Why NoSQL? Benefit over RDBMS
• Types of NoSQL Database, and NoSQL vs. SQL Comparison, ACID & Base Property
• CAP Theorem, implementing NoSQL and what is MongoDB?
• Overview of MongoDB, Design Goals for MongoDB Server and Database, MongoDB tools
• Understanding the following: Collection, Documents and Key/ Values, etc.,
• Introduction to JSON and BSON documents
• Environment setup (live Hands-on) and using various MongoDB tools available in the MongoDB Package
• Case study discussion

Hands-on:

• MongoDB Installation

Learning Objective: In this module, you will learn Schema Design and Data Modelling in MongoDB®, various data structure and tools available to manage Data Model in MongoDB. After completing this module, you should be able to:

• Understand different concepts of data modeling in MongoDB®
• Understand different types of data model
• Understand the challenges of designing a data model in MongoDB®
• Apply the knowledge of a real-world use case

Topics:

• Data Modelling Concepts
• Why Data Modelling? Data Modelling Approach
• Analogy between RDBMS & MongoDB Data Model, MongoDB Data Model (Embedding & Linking)
• Challenges for Data Modelling in MongoDB
• Data Model Examples and Patterns
• Model Relationships between Documents
• Model Tree Structures
• Model Specific Application Contexts
• Use Case discussion of Data modeling

Hands-on:

• HR Data Modeling in RDBMS

Learning Objective: In this module, you will get an understanding of CRUD Operations and their functional usage. You will learn how to perform read/write operations with CRUD. After completing this module, you should be able to:

• Insert, query, update, and delete documents
• Perform distributed read/write operations
• Perform query optimization
• Understand MongoDB’s development and production architecture
• Understand read and write concepts of MongoDB
• Understand how Journaling works
• Use Mongo shell for CRUD operations
• Understand different MongoDB® data types

Topics:

• MongoDB Development Architecture
• MongoDB Production Architecture
• MongoDB CRUD Introduction, MongoDB CRUD Concepts
• MongoDB CRUD Concerns (Read & Write Operations)
• Concern Levels, Journaling, etc.
• Cursor Query Optimizations, Query Behavior in MongoDB
• Distributed Read & Write Queries
• MongoDB Datatypes
• MongoDB CRUD Syntax & Queries (Live Hands on)

Hands-on:

• MongoDB CRUD Operation

Learning Objective: In this module, you will learn the Indexing and Aggregation Framework in MongoDB®. After completing this module, you should be able to:

• Use various type of indexes in MongoDB®
• Manage indexes and indexing strategies
• Use hint, explain plan of a query
• Work with Geospatial indexes
• Work with Aggregation Pipeline in MongoDB®
• Use MapReduce framework

Topics:

• Index Introduction, Index Concepts, Index Types, Index Properties
• Index Creation and Indexing Reference
• Introduction to Aggregation
• Approach to Aggregation
• Types of Aggregation (Pipeline, MapReduce & Single Purpose)
• Performance Tuning

Hands-on:

• Work with Aggregations

Learning Objective: In this module you will learn MongoDB® administrative activities such as Health Check, Backup, Recovery, Data Import/Export, Performance tuning, etc. After completing this module, you should be able to:

• Administer database health, query volume, recovery goals
• Determine performance characteristics
• Take database backup and restore MongoDB®
• Export and import data from/ to a MongoDB® instance
• Check server status and DB status
• Monitor various resource utilization of a mongod instance
• Understand various optimization strategies
• Create capped collection
• Use TTL in MongoDB®

Topics:

• Administration concepts in MongoDB
• Monitoring issues related to Database
• Monitoring at Server, Database, Collection level, and various Monitoring tools related to MongoDB
• Database Profiling, Locks, Memory Usage, No of connections, page fault etc.,
• Backup and Recovery Methods for MongoDB
• Export and Import of Data to and from MongoDB
• Run time configuration of MongoDB
• Production notes/ best practices
• Data Managements in MongoDB (Capped Collections/ Expired data from TTL), Hands on Administrative Tasks

Hands-on:

• Import and Export MongoDB® Data

Learning Objective: In this module, you will understand the setup and configuration of MongoDB® High Availability, Disaster Recovery, and Load Balancing. After completing this module, you should be able to:

• Create, deploy, and manage Replica sets
• Create and administer Sharded clusters
• Perform Data Partitioning with chunks
• Understand the concepts of replica set
• Understand the concept of sharing in MongoDB®
• Create a production like Sharded cluster

Topics:

• Introduction to Replication (High Availability)
• Concepts around Replication
• What is Replica Set and Master Slave Replication?
• Type of Replication in MongoDB
• How to setup a replicated cluster & managing replica sets etc.
• Introduction to Sharding (Horizontal Scaling)
• Concepts around Sharding
• What is Shards, Key, Config Server, Query Router etc.
• How to setup a Sharding
• Type of Sharding (Hash Based, Range Based etc.), and Managing Shards

Hands-on:

• Replication setup
• Set up Sharding

Learning Objective: In this module, you will learn security related with MongoDB, Integration with various tools and technology. Also, you will learn to integrate it with various reporting and Analytical tools like Pentaho, Jaspersoft etc. After completing this module, you should be able to:

• Know security concepts in MongoDB®
• Understand how Authentication and Authorization works
• Integrate MongoDB® with Java
• Integrate MongoDB® with Hadoop, Hive, & Pentaho
• Integrate MongoDB® with Jaspersoft & Robomongo

Topics:

• Security Introduction
• Security Concepts
• Integration of MongoDB with Jaspersoft
• Integration of MongoDB with Pentaho
• Integration of MongoDB with Hadoop/Hive
• Integration of MongoDB with Java
• Integration of MongoDB with GUI Tool Robomongo
• Case Study MongoDB and Java

Hands-on:

• Integration Scenarios

Learning Objective: In this module, you will learn MongoDB® tools to develop and deploy your applications. This module will also help you understand the multiple package components and advance concepts related to MongoDB integration, Hadoop and MongoDB integration. After completing this module, you should be able to:

• Perform MongoDB packaging
• Setup limits and thresholds
• Integrate with R
• Use MongoDB® tools
• Understand Jaspersoft integration with MongoDB®
• Know other popular use case of MongoDB®
• Know various API drivers available for MongoDB®
• Run few query operators through http interface

Topics:

• MongoDB Package Components
• Configuration File Options
• MongoDB Limits and Thresholds
• Connection String URI Format/ Integration of any compatible tool with MongoDB API and Drivers for MongoDB
• MMS (MongoDB Monitoring Service)
• HTTP and Rest Interface
• Integration of MongoDB with Hadoop and Data Migration MongoDB with Hadoop (MongoDB to Hive)
• Integration with R

Hands-on:

• MongoDB with R integration

Learning Objective: In this module, you will learn about various cloud products offered by MongoDB and how they can be used to host or manage your MongoDB deployments. After completing this module, you should be able to:

• Understand MongoDB Stitch
• Learn MongoDB Atlas
• Explore MongoDB Cloud Manager
• Setup MongoDB Ops Manager

Topics:

• Overview of MongoDB Cloud products
• Using Cloud Manager to monitor MongoDB deployments
• Introduction to MongoDB Stitch
• MongoDB Cloud Atlas
• MongoDB Cloud Manager
• Working with MongoDB Ops Manager

Hands-on:

• MongoDB Cloud Manager – exploring

Learning Objective: In this module, you will learn some of the common real-time scenarios you might find in production and how they can be fixed, once identified. After completing this module, you should be able to:

• Troubleshoot slow queries
• Diagnose connectivity problems
• Understand diagnostic tools
• Learn common production issues
• Learn fixes and solutions

Topics:

• Overview of tools
• MongoDB Diagnostic Tools
• Diagnostics Commands
• MongoDB Deployment
• Setup & Configuration, Scalability, Management & Security
• Slow Queries
• Connectivity

Hands-on:

• Troubleshooting scenarios

This MongoDB® Training Certification course will help you master one of the most popular NoSQL databases. This course is designed to equip you with skills of a Mongo DB experienced professional. You will gain knowledge in mastering data modelling, ingestion, query and Sharding, and much more, to become job ready. The course covers a range of NoSQL and MongoDB® topics which will help you gain various development, administering, and engineering skills.

• Gain insight into the ‘Roles’ played by MongoDB® experts
• Learn how to design Schema using Advanced Queries
• Troubleshoot Performance issues
• Understand MongoDB® Aggregation framework
• Learn MongoDB® Backup and Recovery options and strategies
• Understand scalability and availability in MongoDB® using Sharding
• Set up a replicated cluster, Managing ReplicaSets, etc.
• Learn Shards, Keys, Config Server, Query Router, etc.
• Learn about various MongoDB® tools to develop and deploy your applications
• Learn MongoDB® administration activities – Health Check, Backup, Recovery, Performance tuning, etc.
• Understand Hadoop and MongoDB Integration
• Perform Data Migration in MongoDB with Hadoop (MongoDB to Hive)
• Learn to integrate MongoDB with tools like Jaspersoft and Pentaho
• Integrate MongoDB with GUI Tool Robomongo
• Manage MongoDB deployments using MongoDB Cloud products

MongoDB training helps you gain expertise in a leading document-oriented NoSQL database, designed for speed, scalability, and Developer agility. You’ll master MongoDB Architecture, CRUD, Schema Design and Data Modelling, indexing using real-life case studies. You will also learn how MongoDB cloud products can be used to setup, manage, and monitor your MongoDB deployments.

• Database Admin
• Database Server Engineer
• Data Analytics and Visualization Engineer
• Developer working on Web, Cloud, Mobile, and other social technologies
• Applications Engineer

There are no prerequisites for attending this MongoDB® course. Understanding of any mainstream programming language such as Java, basic understanding of database concepts, and knowledge of a text editor such as ‘VI editor’ would be beneficial.

• A system with 4GB RAM and i3 or above processor
• Mongo DB v3.4 or above

You will be provided with an installation guide in the LMS with detailed steps for installing MongoDB in your local system. The installation guide will contain step by step procedure with screenshots to help you setup the required environment in Window OS and Linux OS.

An Overview:
MongoDB is a high-performance, scalable, distributed database designed for a wide variety of modern applications. It is used by organizations of all sizes to power mission-critical, operational applications where low latency, high throughput, and continuous availability are critical requirements of the system. As with any database, applications deployed on MongoDB require careful planning and the coordination of many roles in an organization’s IT teams to ensure successful deployment and operation. Developers and data architects should work together to develop the right data model, and should invest time in this exercise early in the project. The Certification project would challenge you on end-to-end implementation of MongoDB, considering the best practices and selecting the best approach. You would utilize various skills, options, techniques, features, you have learnt throughout this course to solve the problem statements. Each problem statement will challenge you to think and decide a solving approach. You would be provided with some high-level steps to ensure your approach is correct.

Key Scenario:
In an e-commerce company, customers browse the website to place orders for various brands and items. In the process, they must register themselves, sign in with a username and password, search for specific brands and items, and place an order. While placing the order they can add/remove products from the shopping cart, discard the shopping cart, or proceed with the payment using various payment options. The data stored from all the transactions and activities happening on the website is complex in nature. It could be in structured or unstructured format. It might be in text, document, or JSON format.

• Task I: Being the Database Administrator of your organization, you are responsible to use a database which has flexible schema, reduces the operational procedure, and is highly scalable and reliable.
• Task II: Further after the installation and configuration of the database, you must identify the final data schema. To do so,
  • Identify the operations that the system need to support, based on the system functionality
  • Identify the entities that the operations ‘interact’ with
  • Identify meta-data of the entities
  • View how the entities are used in the system in relation to one another
  • Bring it all together by using the findings from the above steps and apply some best practice rules to them.
• Task III: After you create a logical schema, next step is to create a database named as “Mongo_DB_Project” which would be handled by a user “Adam”. You must maintain orders, customers and categories data with brands and items in segregated form. You are also responsible for modifying the documents and removing duplicate or redundant documents.
• Task IV: Your organization keeps consolidated data in a single file for all categories with varied brands and items for each brand with item details. So, you must take a backup of the data.
• Task V: With the increasing data, the query performance of MongoDB has declined. You are responsible for optimizing the query performance of the database. Which steps would you take?
• Task VI: Your manager has asked you to provide total price obtained from order placed for myriad items.
• Task VII: With the modernization of technologies, you should also modernize the storage process of the organizational data to increase flexibility and scalability at reduced cost. So, you decide to host your database somewhere and deploy it to make it secure, fast and highly available for any scale. You suggest your managers that you can save your data in MongoDB Atlas. So, you are now responsible to store your data in MongoDB Atlas and provide security to your cluster.
• Task VIII: You have a lot of unwanted, empty and invalid collections which are consume the memory space of the server machine. Some users have also complained about some warnings and errors encountered while performing various tasks. What would you do?
• Task IX: The developer of your organization has created a new application. You are asked to perform a test for the same application, where you will insert few documents in MongoDB database using a Rest Client.
• Task X: As a database Administrator, you must be well prepared to face situations like system failure, disaster management recovery. You should have replica sets created of your server database.

You will never miss a lecture at CertAdda You can choose either of the two options: View the recorded session of the class available in your LMS or You can attend the missed session, in any other live batch.

To help you in this endeavor, we have added a resume builder tool in your LMS. Now, you will be able to create a winning resume in just 3 easy steps. You will have unlimited access to use these templates across different roles and designations. All you need to do is, log in to your LMS and click on the “create your resume” option.

We have limited number of participants in a live session to maintain the Quality Standards. So, unfortunately participation in a live class without enrollment is not possible. However, you can go through the sample class recording and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in a class.

All the instructors at CertAdda are practitioners from the Industry with minimum 10-12 yrs of relevant IT experience. They are subject matter experts and are trained by CertAdda for providing an awesome learning experience to the participants.

Just give us a CALL at +91 8178510474 / +91 9967920486 OR email at admin@certadda.com