Schema

Very Academy – Practical Database Design – Blog Schema

Very Academy – Practical Database Design Blog Schema
English | Tutorial | Size:


Out of all the tech subjects I have lectured on, databases or relational database systems have always been a subject with a “steep learning curve”. Students tend to find it challenging, and it just takes much more effort to learn than other subjects.

Udemy – Structured Data & Schema Markup for Webmasters

Udemy – Structured Data & Schema Markup for Webmasters
English | Size: 1.93 GB
Category: Tutorial


What you’ll learn
You’ll understand what rich snippets are and how to create & add the code to your pages so that Google can show them for pages.
You’ll understand what structured data is and how best to implement it on your own website.
You’ll be able to create a wide variety of schema markup from scratch if you want to.
You’ll know how to implement schema using Google Tag Manager.
You’ll be able to install and configure a WordPress plugin to implement structured data on your website.

PluralSight – Modeling and Schema Design Patterns for Document Databases

PluralSight – Modeling and Schema Design Patterns for Document Databases BOOKWARE-KNiSO
English | Size: 134.23 MB
Category: Tutorial


Release Notes: Document databases have been gaining in popularity for a number of years now and much of their power can be traced to the ease of working with data defined in the JSON format. In this course, Modeling and Schema Design Patterns for Document Databases, you will see how entities and relationships can be modeled for document databases. First, you will explore how data is represented in different types of databases; from relational DBs to wide-column stores, and how this influences the way data is modeled. You will see concepts such as normalized and denormalized representations of data including the benefits and drawbacks of each approach. Next, you will move on to modeling data for document databases based on the nature of the relationship between entities. This covers the modeling of one-to-one, one-to-many and many-to-many relationships and how content from related documents can be combined while running queries.