Explore the Microsoft Fabric lakehouse

A lakehouse presents as a database and is built on top of a data lake using Delta format tables. Lakehouses combine the SQL-based analytical capabilities of a relational data warehouse and the flexibility and scalability of a data lake. Lakehouses store all data formats and can be used with various analytics tools and programming languages. As cloud-based solutions, lakehouses can scale automatically and provide high availability and disaster recovery.

Some benefits of a lakehouse include:

  • Lakehouses use Spark and SQL engines to process large-scale data and support machine learning or predictive modeling analytics.
  • Lakehouse data is organized in a schema-on-read format, which means you define the schema as needed rather than having a predefined schema.
  • Lakehouses support ACID (Atomicity, Consistency, Isolation, Durability) transactions through Delta Lake formatted tables for data consistency and integrity.
  • Lakehouses are a single location for data engineers, data scientists, and data analysts to access and use data.

A lakehouse is a great option if you want a scalable analytics solution that maintains data consistency. It's important to evaluate your specific requirements to determine which solution is the best fit.


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