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Understand in-depth the concepts of MongoDB and apply them. Become a MongoDB Database Architect. Apply for MongoDB jobs.

What you’ll learn

  • Understand what is MongoDB and its application
  • Prepare for MongoDB Certification
  • Introduction, Installation, Configuration of MongoDB
  • CRUD Operations (Create, Read, Update, Delete, Insert)
  • Data Modeling and Model Tree Structure
  • On-demand Materialized Views, Capped Collections, Text Search
  • Database References, Write Concern, Aggregation
  • Operators – Query Projection, Comparison, Logical
  • Operators – Evaluation, Array, Update
  • Update Documents, Field Update Operator, Array Update Operator, Bitwise Update Operator
  • Introduction to mongo Shell
  • mongo Shell Methods – Collection Methods, Cursor and Database Methods, Bulk Operation Methods
  • Indexes and Storage
  • Replication and Deploying the Replication
  • Sharding
  • Administering MongoDB
  • Interview Questions
  • Practical Demo

    Description

    MongoDB is a very popular NoSQL database that is fast and scalable. When scalability and speed are required, this database shines. It is a document database which imposes very little and has drivers for many programming languages. MongoDB is a general purpose, document-based, distributed database built for modern application developers and for the cloud era.

    Uplatz provides practical training on MongoDB with focus on real-world scenarios and examples. This MongoDB training course will get you familiar with this unique database and arm you with the essential skills to start using mongo to power your software application. This course will teach you how to get mongo running, manipulate and query data, index for speed, and arm you with the essential skills required to start using Mongo.

    As table-based databases struggle to cope with an ever-growing variety of data, this MongoDB training course will show you how its document-oriented nature will allow you to quickly build highly scalable applications. You will gain the skills to develop, administer, secure, and scale MongoDB-based applications, and acquire low-cost, data-driven applications with MongoDB as the back-end database.

    This MongoDB course is designed to give delegates experience of installing and using the MongoDB database. It introduces delegates to the concept of a document-oriented database, then shows how to set up MongoDB for use. Delegates use the built-in shell and various APIs to build a database access application and manipulate data. We also investigate optimising queries using indexes and aggregating data with MongoDB functions.

    The course ends with some popular interview questions that you will face in a MongoDB database developer/architect/DBA job role.

    MongoDB Course Curriculum

    Introduction to NoSQL Architecture with MongoDB

    • What Is MongoDB?
    • Downloading the required Software
    • Installation and Configuration
    • MongoDB Advantages
    • MongoDB Data Modelling
    • MongoDB Tools, Collection and Documents
    • Configuration Files
    • Touring the File Structure
    • Securing the Installation

    CRUD and the MongoDB Shell

    • Introduction to CRUD
    • Introduction to the MongoDB API
    • Creating a Database, Collection and Documents

    Data Modelling and Schema Design

    • MongoDB Database References
    • Model Tree Structures
    • MongoDB Analyzing Queries
    • MongoDB Atomic Operations
    • MongoDB Map Reduce
    • MongoDB Text Search
    • MongoDB Regular Expression
    • MongoDB Capped Collections
    • Data Storage
    • Working with Datatypes
    • Collections
    • Document Datatypes
    • Creating _id Fields

    Querying Data

    • Databases and Collections
    • Querying Collections
    • Working with Operators
    • Referencing a Database
    • Querying Dates

    Manipulating Data

    • Inserting Data into Collections
    • Updates
    • Deletes
    • Atomic Operations
    • Removing Data
    • Capped Collections

    High Performance Options

    • Creating Indexes
    • Manipulating Index Behaviour
    • Index Properties
    • Specialised Index Types
    • Replication
    • Sharding

    Aggregation Framework

    • Aggregating Results
    • Single Purpose Functions
    • The Aggregation Pipeline
    • Date Aggregation Operators

    Indexing

    • Indexing and Aggregation
    • Indexing, query profiling and the query optimizer
    • Geospatial Indexes
    • Index types, Index Properties
    • MongoDB Advanced Indexing
    • MongoDB Indexing Limitations
    • Aggregation Introduction

    Replication

    • Replication Concept
    • Failover & Recovery

    Administration

    • MongoDB Deployment and Cluster setup
    • MongoDB GridFS
    • Trident Spout
    • Working with Replica Sets
    • MongoDB Sharding
    • MongoDB Create Backup

    Using an API

    • Introducing Drivers
    • Java
    • PHP
    • Ruby
    • Python

    MongoDB Course Objectives

    • Develop highly scalable and cost-efficient applications with MongoDB
    • Build efficient MongoDB data models for enterprise-scale applications
    • Enhance performance with indexing and sharding
    • Manage consistency with write concern and read preference
    • Process data and compute results with aggregation pipelines and MapReduce

    By the end of the MongoDB training, the students will be able to:

    • Install and setup the MongoDB database
    • Use the MongoDB shell to access the database
    • Create, retrieve, update and delete data
    • Use aggregation queries
    • Appreciate the APIs used to interface with MongoDB
    • Understand the document based structure of the database
    • Use an API to develop applications
    • Optimise queries with indexes
    • Document based data modelling
    • Create document collections
    • CRUD operations with the Mongo shell
    • Aggregation pipelines
    • MongoDB transactions
    • MongoDB access using programming languages
    • Create indexes

    Who this course is for:

    • Back-End Developers – MongoDB
    • MongoDB Database Architects
    • MongoDB DBAs
    • Full Stack JavaScript Developers (Node, Mongo, AWS, REST)
    • Data Engineers and Data Scientists
    • Big Data Developers and Analysts
    • ETL and Database Developers
    • Students aspiring for a career in MongoDB and Big Data
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