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Lakehouse

Lakehouse

Owned by thierry sinassamy
Last updated: Apr 13, 2024
1 min read

  1. What is a LakeHouse ?

    A unified platform that combines the flexible and scalable storage of a data lake and the ability to query and analyze data in a data warehouse.

  2. What are some examples of unstructured data ?

    Social Media, Website Logs, Third-Party sources.

  3. What are some benefits of a LakeHouse ?

    Benefits include using Spark and SQL engines to process large-scale data, support for ACID transactions, and having a single source for data engineers, scientists, and analysts.

  4. What’s a schema-on-read format ?

    A schema-on-read format means that the schema is defined as needed, rather than having a predefined schema.

  5. What can you do with a LakeHouse ?

    LakeHouse data supports SQL queries, machine learning models, real-time analytics and Power BI reports.

  6. What are the 2 modes in which you can work with data in a LakeHouse ?

    LakeHouse and SQL Analytics Endpoint.