Azure Databricks

Design AI with Apache Spark™-based analytics.

Overview

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.

Key Resources

Homepage: https://learn.microsoft.com/azure/databricks/
Pricing: https://azure.microsoft.com/pricing/details/databricks/
SLA: https://azure.microsoft.com/support/legal/sla/databricks/
Newsfeed: RSS

News

Date News
4/11/2024
Why Do we Need RAG?  RAG stands for Retrieval-Augmented Generation, which is a technique for improving the accuracy and reliability of generative AI models with facts retrieved from external...
12/11/2023
Many organisations store their data in a centralised data lake on Azure Storage accounts. In this post we will look at a solution to scale the secure network access between the centralised data...
11/15/2023
Users can now select AMD-based confidential VMs for their Azure Databricks cluster driver node and cluster worker nodes.
8/1/2023
Enhanced Security and Compliance (ESC) add-on helps simplify the complexity of meeting security and regulatory requirements for Azure Databricks customers.
6/5/2023
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...
5/23/2023
Users can now select AMD-based confidential VMs for their Azure Databricks cluster driver node and cluster worker nodes.
5/3/2023
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.