Data Engineering 101 — Part 4 Data Warehouse vs Data Lake vs Data Lakehouse: Where Does Your Data…

📰 Medium · Data Science

Learn the differences between Data Warehouse, Data Lake, and Data Lakehouse to effectively store and manage your data

intermediate Published 18 Apr 2026

Action Steps

Define the requirements of your data storage system using Data Warehouse, Data Lake, or Data Lakehouse
Evaluate the trade-offs between data structure, scalability, and query performance for each option
Design a data pipeline to integrate with your chosen storage solution
Implement data governance and security measures to protect your data
Compare the costs and benefits of using a cloud-based versus on-premises storage solution

Who Needs to Know This

Data engineers and analysts can benefit from understanding the pros and cons of each storage solution to make informed decisions about their data infrastructure

Key Insight

💡 Data Warehouse, Data Lake, and Data Lakehouse are three distinct storage solutions that cater to different data needs and use cases

Key Takeaways

Learn the differences between Data Warehouse, Data Lake, and Data Lakehouse to effectively store and manage your data

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Title: Data Engineering 101 — Part 4 Data Warehouse vs Data Lake vs Data Lakehouse: Where Does Your Data…

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Published Time: 2026-04-18T04:28:06Z

Markdown Content:
# Data Engineering 101 — Part 4 Data Warehouse vs Data Lake vs Data Lakehouse: Where Does Your Data Live? | by Mahalakshmi | Apr, 2026 | Medium

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# **Data Engineering 101 — Part 4****Data Warehouse vs Data Lake vs Data Lakehouse: Where Does Your Data Live?**

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**Introduction**

Imagine you’re Zomato’s data team and you have millions of orders, user reviews, delivery logs, and app clickstream events pouring in every single day.

Where do you store all of this?

Do you store only the clean, structured data? Or everything — including raw, messy, unprocessed data? And what if you need both?

👉 That’s exactly the problem that gave rise to three different storage sol

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Data Engineering 101 — Part 4 Data Warehouse vs Data Lake vs Data Lakehouse: Where Does Your Data…

Key Takeaways

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