Book Image

Learning MongoDB Schema, Indexes and Queries [Video]

By : Micheal Shallop
Book Image

Learning MongoDB Schema, Indexes and Queries [Video]

By: Micheal Shallop

Overview of this book

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.
Table of Contents (4 chapters)
Chapter 4
Administration of Your Database
Content Locked
Section 10
Demo – Dropping Collections and Databases
In this video, we will continue with dropping collections and databases. - Get a hands-on demo of dropping collections and databases