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/
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News

Date News
6/21/2024
If you’ve ever engaged with the content on the Microsoft Learn platform, it's highly likely that the material you utilized was written or co-authored by dedicated contributors. These...
6/10/2024
Databricks, a pioneer of the Data Lakehouse an integral component of their Data Intelligence Platform is available as a fully managed first party Data & AI solution on Microsoft Azure as Azure...
4/22/2024
Azure Databricks materialized views and streaming tables Billing change
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.