Learning MongoDB Schema, Indexes and Queries: Implementing good design ensures consistent performance at scale!

Micheal Shallop

$9.99 ~~$137.99~~

Video Aug 2018 6hrs 27mins 1st Edition

Micheal Shallop

$9.99 ~~$137.99~~

Video Aug 2018 6hrs 27mins 1st Edition

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Key benefits

A practical demonstration of the different storage types available to MongoDB and when to use them.
Determine good design schemas for your collections; when to stop denormalization when designing collections.
Indexing, next to architecture, is key in scaling your MongoDB database. Learn how, when and why to use indexing and also learn all about CRUD queries (Create, Read, Update, Delete) using the MongoDB client to put data in and get data out.

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.

Who is this book 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. Prior knowledge of relational database systems will be very helpful as we often compare and contrast MongoDB features with traditional databases.

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