Learning MongoDB Schema, Indexes and Queries

Learning MongoDB Schema, Indexes and Queries, available at $54.99, has an average rating of 4.2, with 36 lectures, based on 24 reviews, and has 221 subscribers.

You will learn about A collection schema matters in a schema-less system; or, when to stop de-normalizing data relationships. How a data schema impacts scale Introduction to database indexing: concepts and terminology How indexes increase operational overhead but improve query performance MongoDB Indexes vs. index properties Advanced index concepts and indexing best-practices CRUD commands from the MongoDB client; how to combine simple JavaScript with BSON queries to populate sample tables, and how to use queries effectively to maintain your database Administrative queries; how to delete collections or even entire databases. How to apply indexes, or query to see what indexes already exist. Perform a quick backup and recovery of your collections This course is ideal for individuals who are This course's target audience should have experience with dev-Ops, be comfortable with the Linux command line, and should be experienced in with configuring and deploying cloud-based instances. It is particularly useful for This course's target audience should have experience with dev-Ops, be comfortable with the Linux command line, and should be experienced in with configuring and deploying cloud-based instances.

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Summary

Title: Learning MongoDB Schema, Indexes and Queries

Price: $54.99

Average Rating: 4.2

Number of Lectures: 36

Number of Published Lectures: 36

Number of Curriculum Items: 36

Number of Published Curriculum Objects: 36

Original Price: $109.99

Quality Status: approved

Status: Live

What You Will Learn

A collection schema matters in a schema-less system; or, when to stop de-normalizing data relationships.
How a data schema impacts scale
Introduction to database indexing: concepts and terminology
How indexes increase operational overhead but improve query performance
MongoDB Indexes vs. index properties
Advanced index concepts and indexing best-practices
CRUD commands from the MongoDB client; how to combine simple JavaScript with BSON queries to populate sample tables, and how to use queries effectively to maintain your database
Administrative queries; how to delete collections or even entire databases.
How to apply indexes, or query to see what indexes already exist.
Perform a quick backup and recovery of your collections

Who Should Attend

This course's target audience should have experience with dev-Ops, be comfortable with the Linux command line, and should be experienced in with configuring and deploying cloud-based instances.

Target Audiences

This course's target audience should have experience with dev-Ops, be comfortable with the Linux command line, and should be experienced in with configuring and deploying cloud-based instances.

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.�

We need to discuss database schemas. Yes, MongoDB is touted as schema-less but here’s where we show that proper design is what allows our collections to scale. Indexing is something everyone talks about, but few understand. We’ll explain MongoDB indexing, and index properties because a successful indexing strategy is a key to performance and scaling. Finally, we’ll talk about CRUD commands from the MongoDB client and how to write effective queries.

Taking this course will help you understand supported standards and data types in MongoDB, and best practices to design collections to scale and index them. Also, you will learn some basic CRUD commands.

About the Author

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 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 MongoDB since 2010 and has been the architect of 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++, Linux�

Course Curriculum

Chapter 1: Imposing Schema on a Schema-Less System

Lecture 1: The Course Overview

Lecture 2: Schema – Traditional Definition and How It’s Applied To MongoDB

Lecture 3: Denormalization Defined as a Corollary to Data Normalization

Lecture 4: MongoDB Data Types

Chapter 2: Indexes – The Keys to Speed

Lecture 1: Indexes – What Indexes Do, How They’re Stored, Used, and Their General Impact

Lecture 2: Index Properties – How Index Properties Can Enhance or Fine-Tune Existing Indexe

Lecture 3: Index Properties – How Index Properties Can Enhance or Fine-Tune Existing Indexe

Lecture 4: Index Management

Lecture 5: Index Management (Continued)

Lecture 6: Index Management – Demo

Chapter 3: CRUD

Lecture 1: Introduction to MongoDB CRUD Queries

Lecture 2: Create – How to Create New Databases and New Collections

Lecture 3: Create – How to Create New Databases and New Collections (Continued)

Lecture 4: Demo for Create Command

Lecture 5: Read – How to Fetch Data from a Collection

Lecture 6: Read – How to Fetch Data from a Collection (Continued)

Lecture 7: Demo for Read Command

Lecture 8: Update – How to Update Existing Records Within a Single Query

Lecture 9: Update – How to Update Existing Records Within a Single Query (Continued)

Lecture 10: Demo for Update Command

Lecture 11: Demo for Update Command (Continued)

Lecture 12: Delete – How to Permanently Remove Data from Your Collection

Lecture 13: Demo for Delete Command

Lecture 14: Aggregation –How to Write Aggregation Queries

Lecture 15: Demo for Aggregation

Lecture 16: Demo for Aggregation (Continued)

Chapter 4: Administration of Your Database

Lecture 1: Maintaining Databases and Collections

Lecture 2: Moving Your Database to Another Location

Lecture 3: Demo One – Moving a Database to Another Machine

Lecture 4: Demo Two – Moving a Database to Another Machine

Lecture 5: Moving a Collection to Another Database

Lecture 6: Demo One – Moving a Collection to Another Database

Lecture 7: Quick and Easy Backup and Recovery

Lecture 8: Demo – Backup and Recovery

Lecture 9: Dropping Collections and Databases

Lecture 10: Demo – Dropping Collections and Databases

Instructors

Packt Publishing
Tech Knowledge in Motion

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2 stars: 1 votes
3 stars: 1 votes
4 stars: 8 votes
5 stars: 14 votes

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