What is a Data Lakehouse?

Ever wondered what exactly a Data Lakehouse is and why it's revolutionising how we interact with data?

After returning from a career break in 2021, Carmel Eve discovered the data landscape had transformed beyond recognition. In this video, Carmel will guide you through the evolution of data architecture and explain why Lakehouses might be the solution you've been looking for.

🎯 What You'll Learn:

• The fundamental differences between Data Warehouses, Data Lakes, and Data Lakehouses
• Why ACID compliance matters for your data architecture
• How Microsoft Fabric leverages Delta Lake for optimised querying
• The real-world trade-offs between storage costs and performance
• Whether a Lakehouse architecture is right for your organisation

📚 In This Video:

• 00:00 Introduction to Data Lakehouse
• 01:06 Evolution of Data Storage: From Warehouses to Lakes
• 03:10 Challenges with Data Warehouses
• 04:11 Rise of Data Lakes
• 05:43 Limitations of Data Lakes
• 08:00 Introduction to Data Lakehouse Architecture
• 09:11 Microsoft Fabric and Future Prospects
• 10:58 Conclusion and Contact Information

💡 Key Takeaways:

Data Lakehouses combine the best of both worlds - the low-cost, flexible storage of data lakes with the management features and performance of data warehouses. They support ACID transactions, schema enforcement, and direct BI querying whilst handling structured, unstructured, and semi-structured data.