Azure Databricks is a data analytics platform optimized for the Microsoft Azure cloud services platform. Azure Databricks offers three environments for developing data intensive applications: Databricks SQL, Databricks Data Science & Engineering, and Databricks Machine Learning.
Enhanced Security and Compliance (ESC) add-on helps simplify the complexity of meeting security and regulatory requirements for Azure Databricks customers.
Sagar Lad is a Technical Solution Architect with a leading multinational software company and has deep expertise in implementing Data & Analytics solutions for large enterprises using Cloud and...
Users can now select AMD-based confidential VMs for their Azure Databricks cluster driver node and cluster worker nodes.
Serverless SQL for Azure Databricks is now generally available. This capability provides instant compute to users for their BI and SQL workloads, with minimal management required.
Calling all developers! Let's take a moment to relive the highlights of this year’s Azure Cosmos DB Conf 2023. Attendees had the opportunity to discover all the latest and greatest releases for...
Model Serving on Azure Databricks is now generally available
Every month, our team curates content around a particular theme. This month's content will empower you to build scalable serverless apps with Power Platform and Azure — all using low code....
Azure Private Link for Azure Databricks
Serverless Real-Time Inference in Azure Databricks for model serving is now generally available.
Azure Databricks is now generally available in China North 3.
Introduction In this article we will demonstrate how to send custom event telemetry to an Azure Application Insights instance through PowerShell. We will track our Azure Virtual Network IP...
Beginning in November, Azure Databricks customers have an additional option for SQL compute, with Azure Databricks SQL Pro, which provides enhanced performance and integration features.
The team catches up with the developers of the Databricks Accelerator for Azure Purview to learn when, where, and why you might use it. Media...