Welcome to Data Storage & Modeling! Every business generates data, but where should you store it?
The choice isn't just about having space - it's about choosing the right storage system for your specific needs.
Engagement Message
Name one reason a business might choose more than one database?
Here's the key insight: different business activities need different storage approaches. Running an online store requires instant customer lookups, while analyzing sales trends needs bulk data processing.
One size doesn't fit all in data storage!
Engagement Message
Name an activity that needs a real-time response?
We'll explore four main storage architectures: OLTP databases, data warehouses, data lakes, and lakehouses. Each solves different problems and has different strengths.
Think of them as specialized tools - like how you use different tools for different jobs.
Engagement Message
Does this make sense?
OLTP (Online Transaction Processing) systems handle your day-to-day business operations. They're built for speed and accuracy when processing individual transactions.
Think bank transfers, online purchases, or updating customer information - these need instant, reliable responses.
Engagement Message
Which storage architecture supports these real-time activities?
Data warehouses are built for business intelligence and reporting. They're optimized for analyzing large amounts of historical data to find trends and patterns.
While OLTP focuses on "what's happening now", warehouses focus on "what happened over time".
Engagement Message
Which would be better for generating monthly sales reports?
