The lakehouse architecture and Databricks SQL bring cloud data warehousing capabilities to your data lakes. Using familiar data structures, relations, and management tools, you can model a highly-performant, cost-effective data warehouse that runs directly on your data lake. For more information, see...
Use Databricks in a data lakehouse paradigm for generative AI, ACID transactions, data governance, ETL, BI, and machine learning.
Learn what Azure Databricks is, what it is used for, and what tools are available on the Databricks Data Intelligence Platform.
Learn what Azure Databricks is, what it is used for, and what tools are available on the Databricks Data Intelligence Platform.
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Run Databricks on Microsoft Azure for a unified data analytics platform across data warehouses, data lakes, and AI.
Run Databricks on Microsoft Azure for a unified data analytics platform across data warehouses, data lakes, and AI.
The vision of Databricks is the Lakehouse, which is a centrally managed data lake that acts as a single source of truth for all of your data teams. Data warehouses are traditionally on-premises solutions used for high concurrency, low latency queries and LOB reporting built on SQL Server, bu...
for the data. This keeps the paths consistent across experiences whether the data consumer is querying data through a warehouse in Microsoft Fabric or a notebook in Azure Databricks. Check outIntegrate OneLake with Azure Databricksfor sample code for querying OneLake data using Azure Databricks. ...
虽然 Azure 在某些方面利用 Azure Active Directory，但 Azure AD 角色通常不会直接影响 Azure（或 Azure...