Learning MongoDB

Learning MongoDB, available at $19.99, has an average rating of 3.9, with 40 lectures, based on 85 reviews, and has 1052 subscribers.

You will learn about 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 This course is ideal for individuals who are 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. It is particularly useful for 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.

Enroll now: Learning MongoDB

Summary

Title: Learning MongoDB

Price: $19.99

Average Rating: 3.9

Number of Lectures: 40

Number of Published Lectures: 40

Number of Curriculum Items: 40

Number of Published Curriculum Objects: 40

Original Price: $64.99

Quality Status: approved

Status: Live

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

Who Should Attend

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.

Target Audiences

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.

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. Youll also learn about MongoDBs 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.

Course Curriculum

Chapter 1: Getting Started

Lecture 1: Downloading and Installing Linux

Lecture 2: Downloading and Installing Windows

Lecture 3: Configuring Startup with a System (Service Integration)

Lecture 4: Using the Command-line Tool

Lecture 5: Graphical User Interfaces (GUI)

Chapter 2: JSON and Data Operations

Lecture 1: An Overview of JSON

Lecture 2: Schemaless but Structured

Lecture 3: Adding Data to MongoDB

Lecture 4: Querying Data in MongoDB

Lecture 5: Advanced Queries, Regex, Projection, and Fields

Chapter 3: Working with Databases

Lecture 1: Pruning Data from MongoDB

Lecture 2: Backing Up a Database

Lecture 3: Restoring a Database

Lecture 4: Other Redundancy Mechanisms

Lecture 5: Security

Chapter 4: MapReduce

Lecture 1: MapReduce Overview and Background

Lecture 2: Creating a Map Function

Lecture 3: Creating a Reduce Function

Lecture 4: Advanced MapReduce Functionality

Lecture 5: When to Use MapReduce

Chapter 5: The Aggregation Framework

Lecture 1: An Overview of the Aggregation Framework

Lecture 2: Single Purpose Aggregation

Lecture 3: Pipeline Components

Lecture 4: Example Usage

Lecture 5: Expression Operators

Chapter 6: SSL Security and Programmatic Access

Lecture 1: SCons and Memory Requirements Used to Build MongoDB

Lecture 2: Verifying and Distributing the Build

Lecture 3: Authentication and Authorization

Lecture 4: Accessing MongoDB Using PHP

Lecture 5: Accessing MongoDB Using Python

Chapter 7: Replica Sets and Scaling

Lecture 1: Types of Nodes

Lecture 2: Building a Replica Set

Lecture 3: Verifying Failovers

Lecture 4: Write Concern

Lecture 5: ReadPreference and Load Balancing

Chapter 8: Advanced Topics and Hosting

Lecture 1: Sharding and Ultrascale

Lecture 2: Sharding Example

Lecture 3: MMS Setup

Lecture 4: Reviewing the MMS Feature

Lecture 5: Caching MongoDB

Instructors

Packt Publishing
Tech Knowledge in Motion

Rating Distribution

1 stars: 1 votes

2 stars: 3 votes

3 stars: 16 votes

4 stars: 34 votes

5 stars: 31 votes

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