Explaining what a Lakehouse is!

Have you heard the term lakehouse tossed around in tech circles but not quite sure what it entails? This video aims to demystify the concept of a lakehouse and explain how it differs from a traditional data warehouse or data lake.

While data warehouses and lakes have traditionally operated separately- with data lakes serving as a raw storage space and data warehouses as a space for structured, cleaned data- a lakehouse seamlessly blends the two.

With a lakehouse, raw data is stored in an open format like a data lake, but organizations can also query that data using SQL, similar to a traditional data warehouse. This allows for more flexibility and agility in data querying and analysis.

The concept of a lakehouse has gained increasing popularity with the rise of cloud technology and services like Azure Synapse Analytics, which offers a lakehouse architecture that combines big data and data warehousing functionality.

So next time you hear the term lakehouse, you'll have a clearer understanding of what it means and its potential benefits.

The post "Explaining what a Lakehouse is!" is a video and can be found on YouTube.