Learning MongoDB Schema, Indexes and Queries

Rating 4.55 out of 5 (14 ratings in Udemy)

What you'll 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 …

Rating 4.55 out of 5 (14 ratings in Udemy)

What you'll 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

Description

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

Duration 6 Hours 58 Minutes

Paid

Self paced

Intermediate Level

English (US)

153

Rating 4.55 out of 5 (14 ratings in Udemy)

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