Coffee and Code: Database Basics

Key Info
Description - a brief synopsis, abstract or summary of what the learning resource is about: 

Why Use a Database to Organize Your Data

  • Consisten structure - defined by you
  • Enforced data types
  • Can scale from single tables to sophisticated relational data models
  • Can be a personal file-based or shared server-based solution, depending on your needs
  • Standard language for interacting with your data
  • "Virtual Tables" can be created on the fly based on database queries 
  • Data can be accessed by many analysis tools
Authoring Person(s) Name: 
Jon Wheeler
Karl Benedict
Authoring Organization(s) Name: 
University of New Mexico Research Data Services
License - link to legal statement specifying the copyright status of the learning resource: 
Creative Commons Attribution 4.0 International - CC BY 4.0
Access Cost: 
No fee
Primary language(s) in which the learning resource was originally published or made available: 
More info about
Keywords - short phrases describing what the learning resource is about: 
Data archiving
Data backup
Data handling
Data management
Published / Broadcast: 
Friday, February 9, 2018
Friday, February 9, 2018
Publisher - organization credited with publishing or broadcasting the learning resource: 
University of New Mexico Research Data Services
Media Type - designation of the form in which the content of the learning resource is represented, e.g., moving image: 
Interactive Resource - requires a user to take action or make a request in order for the content to be understood, executed or experienced.
Contact Person(s): 
Jon Wheeler
Karl Benedict
Contact Organization(s): 
University of New Mexico Research Data Services
Educational Info
Purpose - primary educational reason for which the learning resource was created: 
Instruction - detailed information about aspects or processes related to data management or data skills.
Learning Resource Type - category of the learning resource from the point of view of a professional educator: 
Learning Activity - guided or unguided activity engaged in by a learner to acquire skills, concepts, or knowledge that may or may not be defined by a lesson. Examples: data exercises, data recipes.
Target Audience - intended audience for which the learning resource was created: 
Data professional
Graduate student
High school student
Undergraduate student
Intended time to complete - approximate amount of time the average student will take to complete the learning resource: 
More than 1 hour (but less than 1 day)