Learning MongoDB – Packt Publishing

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Learning MongoDB

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

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

Master MapReduce and the MongoDB aggregation framework for sophisticated manipulation of large sets of data

Manage databases and collections, including backup, recovery, and security

Discover how to secure your data using SSL, both from the client and via programming languages

In Detail

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.

Course Curriculum

Getting Started

• Downloading and Installing Linux (10:08)
• Downloading and Installing Windows (6:55)
• Configuring Startup with a System (Service Integration) (6:07)
• Using the Command-line Tool (7:35)
• Graphical User Interfaces (GUI) (6:24)

JSON and Data Operations

• An Overview of JSON (5:57)
• Schemaless but Structured (5:57)
• Adding Data to MongoDB (5:03)
• Querying Data in MongoDB (6:45)
• Advanced Queries, Regex, Projection, and Fields (5:38)

Working with Databases

• Pruning Data from MongoDB (5:04)
• Backing Up a Database (5:18)
• Restoring a Database (4:20)
• Other Redundancy Mechanisms (3:56)
• Security (4:35)

MapReduce

• MapReduce Overview and Background (5:51)
• Creating a Map Function (6:17)
• Creating a Reduce Function (6:55)
• Advanced MapReduce Functionality (5:04)
• When to Use MapReduce (2:16)

The Aggregation Framework

• An Overview of the Aggregation Framework (3:05)
• Single Purpose Aggregation (4:32)
• Pipeline Components (6:25)
• Example Usage (6:11)
• Expression Operators (5:29)

SSL Security and Programmatic Access

• SCons and Memory Requirements Used to Build MongoDB (3:17)
• Verifying and Distributing the Build (5:55)
• Authentication and Authorization (5:13)
• Accessing MongoDB Using PHP (3:21)
• Accessing MongoDB Using Python (4:31)

Replica Sets and Scaling

• Types of Nodes (2:30)
• Building a Replica Set (4:17)
• Verifying Failovers (3:22)
• Write Concern (3:33)
• ReadPreference and Load Balancing (3:51)

Advanced Topics and Hosting

• Sharding and Ultrascale (3:21)
• Sharding Example (5:34)
• MMS Setup (6:38)
• Reviewing the MMS Feature (3:23)
• Caching MongoDB (5:09)