Hack with Data
  • Welcome to Hack with Data
  • Overview
    • โœจCourse Overview
  • Data Intro
    • ๐Ÿ—„๏ธImportance of Data in Today's World
    • ๐ŸขWhere Data Lives
    • ๐Ÿ”นWays to Logically Store Data
    • ๐Ÿ”Security Measures for Protecting Data
    • ๐ŸงนData Cleaning and Preprocessing
  • WORKING WITH DATA
    • โ‰๏ธQuerying Databases with SQL
    • ๐Ÿ“ฑExample of Querying Data from Python
    • ๐Ÿ”Introduction to APIs
  • DATA ANALYSIS AND VISUALIZATION
    • ๐Ÿ”ขIntroduction to Data Analysis
    • ๐Ÿ“ŠData Visualization Tools (Excel, Tableau, PowerBI)
    • ๐ŸŒณVisualization and Data for Environmental Initiatives
  • REAL-WORLD APPLICATIONS
    • ๐Ÿ”Data in Cybersecurity
    • ๐Ÿง‘โ€๐Ÿ’ปCareer Paths in Data
  • CONCLUSION
    • ๐ŸฅณCourse Recap
    • ๐Ÿ“Quiz
    • ๐Ÿ“„Keep on Learning
  • SouthHills Info Request
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  1. Data Intro

Ways to Logically Store Data

PreviousWhere Data LivesNextSecurity Measures for Protecting Data

Last updated 7 months ago

Even though we know that data is stored in computer systems on computer hardware, a data strategy also needs to be determined so that the data has organization for the computers to understand.

The following are three of the many options that are available to logically store data. Each would have its own pros, cons, and side effects. Database administrators and data architects typically spend much time deciding which format and organization is best for the type and amount of data being collected, stored, processed, and analyzed.

Document Database in JSON format
Relational database in separate related tables

๐Ÿ”น
JSON data format
5 rows of data in CSV (comma separated values) format