Data Warehouse

Stores:

Cleaned sales data

Customer KPIs

Revenue reports

Historical business data

Used for dashboards and reporting.

Data Lakehouse

Combines raw and processed data in one platform, allowing analysts and data scientists to run analytics and machine learning workloads without maintaining separate storage systems.

🎯 Which One Should You Use?

✅ Use a Database for day-to-day transactional applications.

✅ Use a Data Warehouse for reporting, dashboards, and business intelligence.

✅ Use a Data Lake for storing massive amounts of raw data from multiple sources.

✅ Use a Lakehouse when you need both scalable storage and high-performance analytics in a single platform.

💡 Key Takeaway

Every modern data platform uses one or more of these storage systems.

As a Data Engineer, you should understand:

What each system is designed for

When to use each one

Their advantages and limitations

How they work together in a modern data architecture

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