MongoDB Developer Course Training in Seattle, WA, United States

Mongo DB for Developers Certification Course

  • 20 Hours of Instructor led Training
  • Hands-on with MQL (MongoDB Query Language) & Java/#NET Driver Integration
  • Covers features of MongoDB 4.0 and future releases
  • Gain basic to advanced development knowledge of MongoDB features and functionalities
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Overview

We create tons and tons of information each day and huge databases are needed to store this data and derive business value from it. MongoDB is among the fastest growing database technologies today and is the leading NoSQL database among Fortune 500 companies. It is popular because it allows the creation of scalable applications, is cost effective and allows organizations to create better data management strategies. 

In order to help you leverage this huge demand for MongoDB specialists, we bring you a comprehensive and hands-on workshop on MongoDB. You will learn the critical aspects of MongoDB and use it to perform real time analytics, data management and other activities. You will learn to incorporate disaster recovery and load balancing. Your projects will include building an Application with MongoDB and understanding Replication and Sharding. Your case studies include understanding how e-Delivery projects are using MongoDB and getting benefitted,and how well known financial industries migrated from Oracle to MongoDB to sort out their performance issues.

 By the end of the course you would have learnt how to use Mongo to enhance your business. With your expertise and skillset in Mongo you will be an asset to any development team. 

Enrol today for a brilliant career as a MongoDB database developer.

What You Will Learn:

1. Concepts and architecture

MongoDB features and basic Client-Server Architecture with logical and physical components

2. CRUD operations

MQL (MongoDB Query Language - JSON ), CRUD operations, in-built functions etc.

3. Aggregation functions

How to achieve complex BI Reports and Analytics reports using Aggregation framework in MDB

4. Sharding, Replication, Indexes

Learn how MongoDB solutions are being used to build complex read, write heavy applications

5. MongoDB Java driver AP

Integrating MongoDB with Java Driver to build sample applications and communicating to MDB Server

Prerequisite
  • Java/ #C Programming Language and respective IDE Tools
  • Knowledge of traditional RDBMS like MySQL/Oracle
  • Basic knowledge of JavaScript
  • Basic knowledge of Linux

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Who Should Attend

  • Those who want to master MongoDB
  • Those who aspire to build their careers working on NoSQL

Knowledgehut Experience

Instructor-led Live Classroom

Interact with our expert instructors in real-time— listen, learn, question and apply.

Curriculum Designed by Experts

Stay globally relevant and empower yourself with the latest tools and training through our in-depth curriculum.

Learn through Doing

Learn theory backed by practical case studies, exercises and coding practice that will make you ready for the industry.

Mentored by Industry Leaders

Learn from the best in the field. Our mentors are all experienced professionals in the fields they teach.

Advance from the Basics

Learn concepts from scratch, and advance your learning through step-by-step guidance on tools and techniques.

Code Reviews by Professionals

Get reviews and feedback on your final projects from professional developers.

Curriculum

Learning Objective:

After completing this module, you should be able to understand Base Concepts of Database, Database Categories, Design Goals for MongoDB Server and Database, MongoDB Tools, Migration methods & tools.

  • RDBMS to NoSQL
  • New data models

Hands-on:

Migrating from RDBMS to MongoDB, Considerations, Depth Understanding of Database, Collection, Documents and Key /Values etc. Usage of various MongoDB Tools available with MongoDB Package.

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.  

  • Features
  • Document database
  • JSON

Hands-on: 

After completing this module, you should be able to:

  • 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 

Learning Objective: 

Post completion of this module you'll be able to understand how to perform data Modelling with the relevant knowledge and skills on Types of Data Modelling, Data Model References,  Use Case of Data modelling.

  • Data model
  • Query model
  • Data management

Hands-on: 

Designing schema 

  • Data Model Examples and Patterns, 
  • Model Relationships between Documents:  Model One-to-One Relationships with Embedded Documents, Model One-to-Many Relationships with Embedded Documents, Model One-to-Many Relationships with Document References.
  • Model Tree Structures: Model Tree Structures with Parent References, Model Tree Structures with Child References, Model Tree Structures with an Array of Ancestors, Model Tree Structures with Materialized Paths, Model Tree Structures with Nested Sets, 
  • Model Specific Application Contexts: Model Data for Atomic Operations, Model Data to Support Keyword Search. 

Learning Objective: 

Post completion of this module you'll be able to understand how to install and configure MongoDB with Java Driver.

  • Driver support
  • Initial setup
  • Interacting with MongoDB

Hands-on: 

Creating users and assigning roles ,etc

Learning Objective: 

Post completion of this module you'll learn CRUD operations, MongoDB built in functions and basics of all the MQL ( MongoDB Query Languages).

  • MongoDB terminologies
  • Documents and Collections
  • Arrays
  • Cursor

Hands-on: 

CRUD, MQL

Learning Objective: 

Post completion of this module you'll learn how indexes work in MongoDB and how to create and use them.

  • Document structure
  • Reference data considerations
  • Embedded data
  • Atomic operations
  • Document growth considerations
  • Data use and performance
  • Capped collections
  • GridFS

Hands-on: 

Creating various types of Indexes

Learning Objective: 

Post completion of this module you'll learn how to analyze and fine tune queries in MongoDB.

  • Using various commands/tools to analyse the queries.

Hands-on: 

Testing Backup & Recovery

Learning Objective: 

Post completion of this module you'll learn the high availability architecture  knowledge with following concepts.

  • Understand the concepts of replica set
  • Understand the concept of Replication in MongoDB  
  • Create a production like Replica Sets
  • Introduction to Replication (High Availability) Concepts around Replication 

Hands-on: 

Creating multi member replica Sets with various configurations to understand the concepts better.

  • Write Concern, Write Concern Levels, Write Concern for a Replica Set, Modify Default Write Concern
  • Read Preference, Read Preference Modes, Blocking for Replication, Tag Set
  • Configure Tag Sets for Replica set . Replica Set Deployment Strategies . Replica Set Deployment Patterns, Oplog File, Replication State and Local Database . Replication Administration

Learning Objective: 

After completion of this module, you'll learn how complex queries can be achieved by AF.

  • Aggregation to Introduction
  • Approach to Aggregation
  • Type of Aggregation (Pipeline, MapReduce & Single Purpose)
  • Aggregation pipelines
  • Map-reduce
  • Single purpose aggregation

Hands-on: 

Handson with AF Complex Queries

Learning Objective: 

Post completion of this module you'll be able to understand how horizontal scalability works in MongoDB with following concepts:  Sharded Cluster Deployment, Sharded Cluster Maintenance, Sharded Cluster Data Management, Troubleshoot Sharded Clusters.

  • What is a Shard?
  • 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.
  • Choosing a Shard Key
  • Range-Based Shard Key
  • Hash-Based Sharding.
  • Impact of Shard Keys on Cluster Operation
  • Production Cluster Architecture
  • Config Server Availability
  • Production Cluster Deployment
  • Add Shards to a Cluster
  • Enable Sharding for Database and a Collection
  • Maintaining a Balanced Data Distribution
  • Splitting
  • Chunk Size and Type
  • Shard Balancing
  • Customized Data Distribution with Tag Aware Sharding ,Tag Aware 
  • Sharding

Hands-on:  

  • Sharded Cluster Deployment,
  • Sharded Cluster Maintenance,
  • Sharded Cluster Data Management,
  • Troubleshoot Sharded Clusters.

Learning Objective: 

Post completion of this module you'll learn how to integrate third party tools with MongoDB and will be able to build sample Applications .

  • Security Introduction,
  • Security Concepts,
  • Security Tutorials,
  • Integration of MongoDB with Jaspersoft,
  • Integration of MongoDB with Pentaho, 
  • Integration of MongoDB with Hadoop/Hive, 
  • Integrat ion of MongoDB with Java, 
  • Integration of MongoDB with GUI Tool Robomongo,
  • Project on MongoDB and Java.

Hands-on:   

Integration with various Dev tools

Learning Objective: 

You'll learn how to use MongoDB tools to develop and deploy your applications. This module will also help you understand the multiple package components and advanced concepts related with MongoDB integration, Hadoop and MongoDB integration.

  • 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/OpsManager (MongoDB Monitoring Service), 
  • HTTP and Rest Interface, 
  • Integration of MongoDB with Hadoop and Data Migration MongoDB with Hadoop (MongoDB to Hive).

Hands-on:   

Integration with Hadoop/Hive tools & App Engineering.

Project

Project

E-Commerce System with MongoDB

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Project

Twitter/Any Social Networking Site with MongoDB 

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Faq

The Course

MongoDB is a robust, flexible and scalable NoSQL database, factors that have made it extremely popular with organizations across sectors. Fortune 500 and Global 500 companies such as Disney, eBay and Facebook have adopted it for their social communications, analytics, content management, archiving and other activities. Our MongoDB course has been designed to help you learn the skills that will land you a job as a MongoDB developer. You will not only learn the basic and advanced concepts but will practically apply them to a project and get ready for the industry. The curriculum has been designed by industry experts who will make sure that you learn the skills that will help you on the job front.

According to statistics, MongoDB professionals can upto $266,629 on an average. This is more than enough reason for you to enrol in this course.

You will: 

  • Get basic to advanced knowledge of Development on MongoDB
  • Be proficient with MongoDB features and functionalities

By the end of the course, you will have:

  • Completed several hands-on examples, 2 course projects which gives you basic to immediate skills of MongoDB Development. 
  • Prepared yourself with the foundational knowledge you need to begin a career of continuous learning in MongoDB.

There are no restrictions but participants would benefit if they have elementary knowledge of any RDBMS, Core Java & Java Script.

Yes, KnowledgeHut offers this training online.

On successful completion of the course you will receive a course completion certificate issued by KnowledgeHut.

Your instructors are MongoDB experts who have years of industry experience.

Finance Related

Any registration cancelled within 48 hours of the initial registration will be refunded in FULL (please note that all cancellations will incur a 5% deduction in the refunded amount due to transactional costs applicable while refunding) Refunds will be processed within 30 days of receipt of written request for refund. Kindly go through our Refund Policy for more details: https://www.knowledgehut.com/refund

KnowledgeHut offers a 100% money back guarantee if the candidate withdraws from the course right after the first session. To learn more about the 100% refund policy, visit our Refund Policy.

The Remote Experience

In an online classroom, students can log in at the scheduled time to a live learning environment which is led by an instructor. You can interact, communicate, view and discuss presentations, and engage with learning resources while working in groups, all in an online setting. Our instructors use an extensive set of collaboration tools and techniques which improves your online training experience.

Once you register for the course you will be provided with system requirements and lab setup document which contains detailed information to prepare the environment for the course.

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MongoDB Developer Course Course in Seattle, WA

Mongo DB for Developers course in Seattle US

Seattle is the largest city located in Washington?s State on the Pacific Northwest. The Seattle is the location of the several hi-tech industries headquarters of Amazon and Microsoft . It is said to be the number city in terms of technology in US beating the Silicon Valley and NYC. It competes to the top ranked technology industry not only of the US but of the world too. It also holds the 13th rank in the top 25 startup hubs in the world. The researchers have also investigated concentration of high tech companies. The city has also very low unemployment rate. The next amazing thing is the training of the Mongo DB Developer course in Seattle by KnowledgeHut. By this you can turn the way of your living.


About the institute for training of developers for Mongo DB Seattle

There are several institutes that coach the student for Mongo DB developers course. Seattle is one of the best city for advanced technology addict students. M DB developers course in Seattle is the base for the M DB database. This course is renowned as the number one database course in the world. As Seattle has several hi-tech industry so there are many companies that are interested in the person that have information about M DB. M DB is also used by various other e-commerce systems and social networking sites. The developers course helps you to get through some basics and primary information about M DB.


Why should one take Mongo DB developers course?

Mongo DB developers online training in Seattle should be taken if one his making his way to Mongo DB. This course is a robust, flexible and scalable NoSQL database, factors making it a extremely popular among organization. M DB is used by several big corporations like the Disney, eBay and Facebook. That is why there is a need of large amount of M DB certifiers. This whole course will make you master in NoSQL paradigm, M DB overview, architecture and schema design and data modelling, installation and configuration, CRUD operations, analyzing query performance, replication, aggregation operations, project additional concepts and application engineering and M DB tools.


Benefits of taking the coaching through KnowledgeHut

The course with KnowledgeHut will make you certified Mongo DB developer. You will get a free access to the course for some days to know about the fees structure , timing of the course and availability of seat. It will give you 100% money back guarantee if one leaves the course in first session. You will be coached online on Instructor LED by some great tutors. You will get projects to test yourself.


So why to wait more? Enroll now for the Mongo DB developers online certification in Seattle at KnowledgeHut

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