Databricks Database


              Databricks Database

Databricks doesn’t directly use traditional databases like MySQL or Oracle. Instead, it leverages a concept called a Data Lakehouse for data storage and management.

Here’s a breakdown of how Databricks handles data:

  • Data Lakehouse: This combines the strengths of data lakes and data warehouses. Data is stored using Delta Lake in cloud storage, providing scalability and flexibility. A megastore keeps track of the organization of data.
  • Objects: The Databricks lakehouse uses several objects, including:
    • Catalogs: Groupings of databases (or schemas).
    • Databases (or Schemas): Contain tables, views, and functions.
    • Tables: The core data structure, storing data as files in cloud storage. Delta tables are the default storage option.
    • Views: Saved queries that can reference multiple tables or data sources.
    • Functions: Saved logic returning data.
  • Databricks SQL: This service within Databricks provides data warehousing capabilities on the Data Lakehouse. It allows users to run SQL queries on the data using familiar syntax.

In essence, Databricks offers a way to manage and analyze data at scale, with the flexibility of a data lake and the structure of a data warehouse.

Databricks Training Demo Day 1 Video:

You can find more information about Databricks Training in this Dtabricks Docs Link



Unogeeks is the No.1 IT Training Institute for Databricks Training. Anyone Disagree? Please drop in a comment

You can check out our other latest blogs on Databricks Training here – Databricks Blogs

Please check out our Best In Class Databricks Training Details here – Databricks Training

 Follow & Connect with us:


For Training inquiries:

Call/Whatsapp: +91 73960 33555

Mail us at:

Our Website ➜

Follow us:





Leave a Reply

Your email address will not be published. Required fields are marked *