A lakehouse is a data architecture that combines flexible data lake storage with features often associated with data warehouses.
Lakehouse
A lakehouse is a data architecture that combines flexible data lake storage with features commonly used in data warehouses.
Quick facts about lakehouses
Combines two approaches
A lakehouse brings together ideas from data lakes and data warehouses in one analytics environment.
Stores different data types
Lakehouses can support structured, semi structured and unstructured data for analytics and reporting.
Relevant to Fabric
In Microsoft Fabric, a lakehouse can be used to store, manage and prepare data for reporting workflows.
Supports BI reporting
A lakehouse can provide a data foundation for Power BI reports, semantic models and analytics use cases.
Where a lakehouse fits in the data stack
A lakehouse is often used when teams need one place to store and work with data before it becomes reporting content. It can support raw data, prepared tables and analytics workflows without forcing every dataset into a traditional warehouse structure from the start. A lakehouse can support use cases such as:
- Storing data from multiple business systems
- Preparing data for Power BI reporting
- Combining raw and structured analytics data
- Supporting teams that work with both BI and data engineering
This makes lakehouses useful when organizations want more flexibility in how data is collected, prepared and reused. The value is not only storage, but the ability to turn that data into something usable for reporting and analysis.
Better reporting starts before the report is built
A Power BI report depends on the data foundation behind it. If data is scattered across systems, copied manually or prepared differently by each team, reports become harder to trust and maintain.
A lakehouse can help create a more structured path from source data to reporting data. Skald BI helps with the next step: sharing finished Power BI reports through a secure branded portal, so customers, partners and internal teams can access the reporting built on that data foundation.
Use cases
See how different types of organisations use Skald BI to share Power BI securely with employees, customers and partners.
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Frequently asked questions
A lakehouse is used to store, manage and prepare data for analytics, BI reporting and data engineering workflows.
Is a lakehouse the same as a data warehouse?
No. A data warehouse is usually more structured and optimized for reporting. A lakehouse is designed to combine flexible storage with analytics and reporting capabilities.
How is a lakehouse used with Power BI?
A lakehouse can provide prepared data that Power BI reports and semantic models use for analysis and visualization.
How does a lakehouse relate to Skald BI?