Think of data modeling like building the blueprint for a house. Before you start constructing
anything, you need a clear plan of where rooms go, how big they are, and how things
connect. Data modeling does the same thing for your information.
Why Does Data Modeling Matter?

• Makes Sense of Messy Data: Businesses collect tons of information – customer
  details, sales figures, website activity, you name it. Data modeling organizes this
  mess into a logical structure.
• Everyone Speaks the Same Language: A good data model ensures your whole
  team understands what the data means and how it’s connected. No more confusion
  about which “sales” number is the right one!
• Better Decisions, Faster: Organized data helps you spot trends, ask meaningful
  questions, and make informed choices for your business.
• Stronger Systems: Data models are the foundation for databases and software. A
  clear model makes them work better and easier to maintain.
  The Building Blocks
• Entities: The main ‘things’ your data is about (customers, products, orders).
• Attributes: The details that describe each entity (customer name, product price,
  order date).
• Relationships: How entities are connected (a customer can have many orders).
  A Simple Example
  Imagine you run an online store. A basic data model might have:
• Entities: Customer, Order, Product
• Attributes:
  o Customer (name, email, address)
  o Order (order number, date, total amount)
  o Product (name, price, description)
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• Relationships:
  o A customer can have many orders
  o An order can have many products
  In the Real World
  Data models get much more complex for big businesses! But the basic idea stays the
  same: creating a structured way to understand and use the information you have.