Learning Path- MongoDB- Backend Programming with MongoDB

Learning Path: MongoDB: Backend Programming with MongoDB, available at $44.99, has an average rating of 4.35, with 29 lectures, based on 31 reviews, and has 305 subscribers.

You will learn about Understand how to model your data in MongoDB for optimal performance Learn how to analyze, optimize, and scale your MongoDB clusters Get familiar with how MongoDB integrates into the larger world of analytics and big data Learn MongoDB’s cloud services Learn cloud analytics, automation, and database as a service This course is ideal for individuals who are This Learning Path is for database developer, administrator or someone with a basic understanding of the features of MongoDB and want to master the advanced concepts of MongoDB. It is particularly useful for This Learning Path is for database developer, administrator or someone with a basic understanding of the features of MongoDB and want to master the advanced concepts of MongoDB.

Enroll now: Learning Path: MongoDB: Backend Programming with MongoDB

Summary

Title: Learning Path: MongoDB: Backend Programming with MongoDB

Price: $44.99

Average Rating: 4.35

Number of Lectures: 29

Number of Published Lectures: 29

Number of Curriculum Items: 29

Number of Published Curriculum Objects: 29

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Understand how to model your data in MongoDB for optimal performance

Learn how to analyze, optimize, and scale your MongoDB clusters

Get familiar with how MongoDB integrates into the larger world of analytics and big data

Learn MongoDB’s cloud services

Learn cloud analytics, automation, and database as a service

Who Should Attend

This Learning Path is for database developer, administrator or someone with a basic understanding of the features of MongoDB and want to master the advanced concepts of MongoDB.

Target Audiences

This Learning Path is for database developer, administrator or someone with a basic understanding of the features of MongoDB and want to master the advanced concepts of MongoDB.

Want to experience preparing scalable and efficient databases for your applications? Then this is the right course for you. MongoDB is the most popular NoSQL database in the market today. With support for real-time analytics, it is being used by many big enterprises for efficient and fast processing of data.

This Video Learning Path will show you how you can get the most out of MongoDB’s advanced features with ease. After getting a quick overview of the basics of MongoDB, you will directly jump to covering the concepts related to advanced data modelling, complex querying, indexing, and database operations.

This Video Learning Path will also cover important aspects such as cloud deployment which is important when it comes to web applications and integration with Hadoop for fast and efficient Big Data processing.

MongoDB provides excellent set of tools and services to maximize your application’s performance. You will explore real-world examples that you can watch and use directly for your application.

We will then explore the profiling and performance tools for MongoDB. We will make it even more accessible by moving to MongoDB cloud services, including analytics, automation, and even Database-as-a-Service.

By the end of this Video Learning Path, you will have mastered all the concepts of MongoDB along with learning to boost your application’s performance.

About the Author

Rick Copeland is the Principal Consultant of Arborian Consulting, which provides MongoDB and Python-focused consulting, training, and custom development services. Rick has been using MongoDB since 2009 and Python since 2005, and has spoken at various user groups and conferences on both topics. He is a member of the Python Software Foundation and the Masters of MongoDB.

Course Curriculum

Chapter 1: Developing with MongoDB

Lecture 1: The Course Overview

Lecture 2: How Is MongoDB Different from RelationalSQL Databases?

Lecture 3: Overview of the MongoDB Document Model-BSON

Lecture 4: Overview of MongoDB Replication

Lecture 5: Overview of MongoDB Sharding

Lecture 6: Launching the Shell

Lecture 7: Performing Queries in the Shell

Lecture 8: Modifying Data

Lecture 9: Using Indexes

Lecture 10: Getting and Managing Connections

Lecture 11: Using PyMongo for CRUD, Indexing, and Introspection

Lecture 12: Managing Cursors

Lecture 13: Bulk Operations

Lecture 14: Basic Indexing

Lecture 15: Relational Normal Form Versus Documents

Lecture 16: Linking Versus Embedding

Lecture 17: Designing for Sharding

Lecture 18: Advanced Indexing

Chapter 2: MongoDB Tools and Services

Lecture 1: The Course Overview

Lecture 2: How MongoDB Uses Indexes

Lecture 3: Reading a MongoDB Query Plan

Lecture 4: Using mongostat and mongotop to Examine a Running System

Lecture 5: Using the MongoDB Profiler

Lecture 6: MongoDB Cloud Manager – Monitoring

Lecture 7: MongoDB Cloud Manager – Automation and Backup

Lecture 8: MongoDB Database-as-a-Service – Atlas

Lecture 9: Horizontal Scaling with Replica Sets

Lecture 10: Horizontal Scaling with Sharding

Lecture 11: Vertical Scaling and MongoDB

Instructors

Packt Publishing
Tech Knowledge in Motion

Rating Distribution

1 stars: 1 votes

2 stars: 0 votes

3 stars: 3 votes

4 stars: 14 votes

5 stars: 13 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

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