Definition: Databases that are hugeeeee! Think of an ocean filled with data.

Characteristics (or what some call the Vs):

• Volume: The sheer amount of data. Imagine trying to drink the ocean with a straw!
• Variety: Different types of data – photos, texts, videos.
• Velocity: The speed at which new data is produced. Like popcorn popping at rapid speed.
• Some extra Vs to sound super smart: Value (usefulness), veracity (truthfulness), comprehensiveness (complete or just a slice?).

Where does it come from?

• Devices like computers, phones, and tablets.
• Online shopping databases.
• Social media apps.
• GPS systems.

Why do businesses ❤️ big data?

• To track performance (e.g. Is Joe from accounting working efficiently?).
• For market research. It's like having a crystal ball to see what customers want.
• To set prices according to demand (e.g. Airline tickets getting pricier during holidays!).

Watch out! Concerns about personal data privacy:

• Europe's GDPR and California's CCPA – superheroes protecting people's data.

• Fun and games.
• Training for professionals. Surgeons can rehearse tricky operations; pilots can simulate a stormy landing.
• Future potential: Test driving cars or visiting holiday destinations before deciding.

• Smart homes: Windows adjusting according to the weather. Too hot? They might just open up!
• In businesses
  • Retail: Automated stock checking and ordering. Stores that replenish themselves!
  • Health: Smartwatches keeping an eye on your heart, maybe even chatting with your doctor.
  • Agriculture: Farms that can sense and adjust. Sun's too harsh? Automated shades come on.