MongoDB- Complex Querying advance data model- 2 in 1

MongoDB: Complex Querying & advance data model: 2 in 1, available at $39.99, has an average rating of 4, with 36 lectures, 2 quizzes, based on 9 reviews, and has 191 subscribers.

You will learn about How to install and configure MongoDB in Linux, and AWS environments Secure your database connections with TLS Cloud analytics, automation, and database-as-a-service Enhance application performance and reliability Scale applications with minimum downtime This course is ideal for individuals who are This Learning Path is targeted for database developer, audience interested in MongoDB cloud services,users comfortable with the Linux command line and/or Windows administration. It is particularly useful for This Learning Path is targeted for database developer, audience interested in MongoDB cloud services,users comfortable with the Linux command line and/or Windows administration.

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Summary

Title: MongoDB: Complex Querying & advance data model: 2 in 1

Price: $39.99

Average Rating: 4

Number of Lectures: 36

Number of Quizzes: 2

Number of Published Lectures: 36

Number of Published Quizzes: 2

Number of Curriculum Items: 38

Number of Published Curriculum Objects: 38

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

How to install and configure MongoDB in Linux, and AWS environments

Secure your database connections with TLS

Cloud analytics, automation, and database-as-a-service

Enhance application performance and reliability

Scale applications with minimum downtime

Who Should Attend

This Learning Path is targeted for database developer, audience interested in MongoDB cloud services,users comfortable with the Linux command line and/or Windows administration.

Target Audiences

This Learning Path is targeted for database developer, audience interested in MongoDB cloud services,users comfortable with the Linux command line and/or Windows administration.

MongoDB makes it possible to store and process large sets of data in ways that increase business value. The flexibility of unstructured, schema-less, storage, combined with robust querying and post-processing functionality, make MongoDB a compelling solution for enterprise big data needs.

With this comprehensive 2-in-1 course you master all the techniques for deploying MongoDB across various platforms and environments. You will learn some of the best production practices such as creating a test, dev and prod cluster. Lastly you will learn how to effectively secure your clusters in production. It also shows different MongoDB cluster architectures affect application performance, scalability and reliability.

Contents and Overview

This training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.

The first course, Learning MongoDB Deploymentsaddresses in-depth, the installation and configuration of various MongoDB deployments (dev, test, prod, demo). Using a best-practice approach, this course familiarizes the user with installation requirements and options while delving into an infrequently-covered topic: MongoDB configuration.

Taking this course will help you master all the techniques for deploying MongoDB across various platforms and environments. You will learn some of the best production practices such as creating a test, dev and prod cluster. Lastly you will learn how to effectively secure your clusters in production.

The second course, MongoDB Tools and Services takes you through real world examples that you can watch and use directly for your application. You will learn the ins and outs through the hacks covered in the course. This is your one stop course to boost your application performance for your audience.

In this video course, we will 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. Finally, we will show different MongoDB cluster architectures affect application performance, scalability and reliability.

About the Authors:

Micheal Shallop started programming in 1981 on a Tandy TRS-80 Model 1 and hasn’t stopped since. He graduated in 1991 from Oklahoma State University with an Honors degree in Computer Science. In his career, he’s coded in many programming languages and has used a variety of databases, relational and otherwise. He was the technical author of a patent awarded in 2011 for his work on real-time data collection, aggregation, and forecasting in a conventional (automotive) business.

He is currently working for givingassistant. org designing and writing a back-end, event-driven, object-oriented, data-agnostic framework utilizing AMQP as the data transport vector and PHP 7.1 as the primary language. He has been programming in PHP for Mongo since 2010 and has been the architect for several systems, mostly back-end frameworks.

Micheal is interested in anything with a programming language behind it. Most recently, he has been experimenting with Arduino programming on the Raspberry Pi, and writing a social media site in Python. He is also technically skilled in RabbitMQ, general database tech, Python, C/C++, and Linux.

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: Learning MongoDB Deployments

Lecture 1: The Course Overview

Lecture 2: Introduction to the Environments

Lecture 3: Installation on AWS

Lecture 4: Installation on AWS (Continued)

Lecture 5: Installation on Ubuntu

Lecture 6: Discussion of /etc/mongod.conf

Lecture 7: Replication Clusters (Configuration)

Lecture 8: Adjust Priority for Replica Set Member

Lecture 9: Sharding

Lecture 10: Shard Strategies

Lecture 11: Installing the Configuration Replication Set

Lecture 12: Installing the Configuration Replication Set (Continued)

Lecture 13: Installing the Query Router

Lecture 14: Adding Shards to a Cluster

Lecture 15: Start the Mongo Service at Boot Time

Lecture 16: Add Data to Our Sharded Cluster

Lecture 17: Adding Data

Lecture 18: Managing Mongo User Accounts

Lecture 19: Creating the Mongo Superuser/Root Account

Lecture 20: Creating the db_owner Accounts and Admin Versus User DB Accounts

Lecture 21: Encrypting MongoDB Data-in-motion and Data-at-rest

Lecture 22: Encrypting MongoDB Data-in-motion and Data-at-rest (Continued)

Lecture 23: Defining Deployment Environments and What It Accommodates

Lecture 24: Manage MongoDB Ports to Maximize Resources

Lecture 25: Backups

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: 1 votes

3 stars: 0 votes

4 stars: 3 votes

5 stars: 4 votes

Frequently Asked Questions

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