Learning MongoDB

Learning MongoDB
Learning MongoDB
English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 3h 26m | 545 MB

A comprehensive guide to using MongoDB for ultra-fast, fault tolerant management of big data, including advanced data analysis

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.

What You Will 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
Table of Contents

Getting Started
Downloading and Installing Linux 4min
Downloading and Installing Windows
Configuring Startup with a System (Service Integration)
Using the Command-line Tool
Graphical User Interfaces (GUI)

JSON and Data Operations
An Overview of JSON
Schemaless but Structured
Adding Data to MongoDB
Querying Data in MongoDB
Advanced Queries, Regex, Projection, and Fields

Working with Databases
Pruning Data from MongoDB
Backing Up a Database
Restoring a Database
Other Redundancy Mechanisms

MapReduce Overview and Background
Creating a Map Function
Creating a Reduce Function
Advanced MapReduce Functionality
When to Use MapReduce

The Aggregation Framework
An Overview of the Aggregation Framework
Single Purpose Aggregation
Pipeline Components
Example Usage
Expression Operators

SSL Security and Programmatic Access
SCons and Memory Requirements Used to Build MongoDB
Verifying and Distributing the Build
Authentication and Authorization
Accessing MongoDB Using PHP
Accessing MongoDB Using Python

Replica Sets and Scaling
Types of Nodes
Building a Replica Set
Verifying Failovers
Write Concern
ReadPreference and Load Balancing

Advanced Topics and Hosting
Sharding and Ultrascale
Sharding Example
MMS Setup
Reviewing the MMS Feature
Caching MongoDB