Learning MongoDB

A comprehensive guide to MongoDB for ultra-fast, fault tolerant management of big data, including advanced data analysis
4.1 (28 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.
610 students enrolled
$75
Take This Course
  • Lectures 40
  • Contents Video: 3.5 hours
  • Skill Level Beginner Level
  • Languages English
  • Includes Lifetime access
    30 day money back guarantee!
    Available on iOS and Android
    Certificate of Completion
Wishlisted Wishlist

How taking a course works

Discover

Find online courses made by experts from around the world.

Learn

Take your courses with you and learn anywhere, anytime.

Master

Learn and practice real-world skills and achieve your goals.

About This Course

Published 4/2015 English

Course Description

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.

What are the requirements?

  • 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.

What am I going to get from this course?

  • 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

What 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.

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.

Curriculum

Section 1: Getting Started
10:08

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

06:55
Need MongoDB installed so that you can begin to store and retrieve data.
06:07

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

07:35

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

06:24
Need an easy, intuitive way to interact with data in MongoDB.
Section 2: JSON and Data Operations
05:57

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

05:57

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

05:03

Need to get data into MongoDB.

06:45

Need to retrieve data in different ways for application development.

05:38

Need more sophisticated ways to retrieve and organize data.

Section 3: Working with Databases
05:04

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

05:18
Need to create backups for disaster recovery and audit.
04:20

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

03:56

Need to survive system failures.

04:35
Need to secure sensitive data.
Section 4: MapReduce
05:51

Need to combine different documents into a new representation.

06:17

Need to capture and then emit relevant document details.

06:55
Need to capture and store emitted data fragments.
05:04

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

02:16

Understand when MapReduce is the right tool.

Section 5: The Aggregation Framework
03:05
Need to understand the aggregation framework.
04:32
Need to get quick get simple details about sets of data.
06:25

Need to transform and filter record fragments.

06:11

Need to take raw access data and provide a report.

05:29

Need to perform manipulations and transformations of data.

Section 6: SSL Security and Programmatic Access
03:17

Need to know how to build MongoDB from source.

05:55
Need to confirm functionality and distribute.
05:13

SSL access requires username and password authentication.

03:21
Need a PHP application to access MongoDB databases.
04:31

Need a Java application to access MongoDB databases.

Section 7: Replica Sets and Scaling
02:30

Need some hosts with a specific purpose.

04:17

Need to build multiple machines for redundancy.

03:22
Need to ensure stability and automatic failover.
03:33

Need to be sure that a write survives system fail.

03:51
Need improved query performance.
Section 8: Advanced Topics and Hosting
03:21

Too much data to achieve performance on a single VM.

05:34

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

06:38

Need to deploy and monitor MongoDB.

03:23

Need to understand how MMS helps with MongoDB deployment.

05:09
Need more speed or higher transaction throughput.

Students Who Viewed This Course Also Viewed

  • Loading
  • Loading
  • Loading

Instructor Biography

Packt Publishing, Tech Knowledge in Motion

Over the past ten years Packt Publishing has developed an extensive catalogue of over 2000 books, e-books and video courses aimed at keeping IT professionals ahead of the technology curve. From new takes on established technologies through to the latest guides on emerging platforms, topics and trends – Packt's focus has always been on giving our customers the working knowledge they need to get the job done. Our Udemy courses continue this tradition, bringing you comprehensive yet concise video courses straight from the experts.

Ready to start learning?
Take This Course