Capabilities

Lakehouse is designed for schema-on-read.  Allowing you to load data without the overhead of modeling.  When you read the data you can then define the necessary schema.

The Lakehouse supports ACID transaction with Delta Lake formatted tables for Atomicity, Consistency, Isolation, and Durability.

The Lakehouse can be shared without “data copy” overhead.  Allowing for a single location for data engineers, data analysts, and data scientists.

Solution

Enable your organization to analyze various data formats across multiple sources by leveraging Microsoft Fabric.  Unstructured data from social media, log analytics, or multiple partners combined with structured transactional data.  

After creating a Lakehouse users can load data from various sources (local files, databases, APIs)  Automation can then be applied through Pipelines or Dataflows.

You can work with Lakehouse data directly or with a SQL Endpoint in a relational data model.

Workspace containers enable organization, collaboration, and a layer of security.