Learning MongoDB
4.1 (40 ratings)
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Learning MongoDB

A comprehensive guide to MongoDB for ultra-fast, fault tolerant management of big data, including advanced data analysis
4.1 (40 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
725 students enrolled
Created by Packt Publishing
Last updated 4/2015
Current price: $10 Original price: $75 Discount: 87% off
5 hours left at this price!
30-Day Money-Back Guarantee
  • 3.5 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • 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
  • Delve into advanced topics such as monitoring, automated deployment, sharding, and caching to boost your application
View Curriculum
  • You need to have some background with traditional data store technologies, and by the end of this course, you will be able to manage and analyze large datasets that empower you to make informed business decisions.

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.

As we move to the end of the course, we delve into SSL security and programmatic access using various languages. You'll also learn about MongoDB's built-in redundancy and scale features, replica sets, and sharding.

This video course will take you on a journey from all the downright basics of MongoDB to the deployment of a reliable, secure, and enterprise-ready big data solution.

About the Author

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.

Who is the target audience?
  • If you wish to control the analysis and manipulation of ever-increasing numbers of data streams, then this course is for you. MongoDB does this on an enterprise-ready level in a way that traditional data store solutions cannot.
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Curriculum For This Course
40 Lectures
Getting Started
5 Lectures 37:09

Need MondoDB installed so that you can begin to store and retrieve data.

Preview 10:08

Need MongoDB installed so that you can begin to store and retrieve data.
Downloading and Installing Windows

MongoDB should be available without intervention in the event of a system restart.

Configuring Startup with a System (Service Integration)

Need to interact with MongoDB and the data it contains, so we use the command line for this.

Using the Command-line Tool

Need an easy, intuitive way to interact with data in MongoDB.
Graphical User Interfaces (GUI)
JSON and Data Operations
5 Lectures 29:20

Need to explore the structure used to store and query data in MongoDB.

Preview 05:57

Need to understand that MongoDB is driven by structure to build realistic data.

Schemaless but Structured

Need to get data into MongoDB.

Adding Data to MongoDB

Need to retrieve data in different ways for application development.

Querying Data in MongoDB

Need more sophisticated ways to retrieve and organize data.

Advanced Queries, Regex, Projection, and Fields
Working with Databases
5 Lectures 23:13

Need to clean out old records that are no longer needed.

Preview 05:04

Need to create backups for disaster recovery and audit.
Backing Up a Database

Need to be able to restore data after failure or audit.

Restoring a Database

Need to survive system failures.

Other Redundancy Mechanisms

Need to secure sensitive data.
5 Lectures 26:23

Need to combine different documents into a new representation.

Preview 05:51

Need to capture and then emit relevant document details.

Creating a Map Function

Need to capture and store emitted data fragments.
Creating a Reduce Function

Need to map and reduce targeted data or optimize data processing.

Advanced MapReduce Functionality

Understand when MapReduce is the right tool.

When to Use MapReduce
The Aggregation Framework
5 Lectures 25:42
Need to understand the aggregation framework.
Preview 03:05

Need to get quick get simple details about sets of data.
Single Purpose Aggregation

Need to transform and filter record fragments.

Pipeline Components

Need to take raw access data and provide a report.

Example Usage

Need to perform manipulations and transformations of data.

Expression Operators
SSL Security and Programmatic Access
5 Lectures 22:17

Need to know how to build MongoDB from source.

Preview 03:17

Need to confirm functionality and distribute.
Verifying and Distributing the Build

SSL access requires username and password authentication.

Authentication and Authorization

Need a PHP application to access MongoDB databases.
Accessing MongoDB Using PHP

Need a Java application to access MongoDB databases.

Accessing MongoDB Using Python
Replica Sets and Scaling
5 Lectures 17:33

Need some hosts with a specific purpose.

Preview 02:30

Need to build multiple machines for redundancy.

Building a Replica Set

Need to ensure stability and automatic failover.
Verifying Failovers

Need to be sure that a write survives system fail.

Write Concern

Need improved query performance.
ReadPreference and Load Balancing
Advanced Topics and Hosting
5 Lectures 24:05

Too much data to achieve performance on a single VM.

Preview 03:21

Shard setup is complex; we will examine a step-by-step example.

Sharding Example

Need to deploy and monitor MongoDB.

MMS Setup

Need to understand how MMS helps with MongoDB deployment.

Reviewing the MMS Feature

Need more speed or higher transaction throughput.
Caching MongoDB
About the Instructor
Packt Publishing
3.9 Average rating
8,109 Reviews
58,308 Students
686 Courses
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From skills that will help you to develop and future proof your career to immediate solutions to every day tech challenges, Packt is a go-to resource to make you a better, smarter developer.

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