Microsoft Azure AI, data, and application innovations help turn your AI ambitions into reality
Welcome to Microsoft Ignite 2023! The past year has been one of true transformation.
Azure Databricks
AI for business leaders: Discover AI advantages in this Microsoft AI learning series
As a leader in all things AI, Microsoft has spearheaded a curriculum created especially for you and your colleagues to help you build the knowledge, insights, and skills needed to make the most of AI technologies.
Supporting openEHR with Azure Health Data Services
This blog is part of a series in collaboration with our partners and customers leveraging the newly announced Azure Health Data Services.
5 reasons Azure Databricks is best for Hadoop workloads
Due to the complexity, high cost of operations, and unscalable infrastructure, on-premises Hadoop platforms have often not delivered on their initial promises to impact business value. As a result, many enterprises are now seeking to modernize their Hadoop platforms to cloud data platforms.
5 reasons Databricks runs best on Azure
For any organization running big data workloads in the cloud, exceptional scale, performance, and optimization are essential. Databricks customers have multiple choices for their cloud destination.
Accelerating Department of Defense mission workloads with Azure
As the Azure engineering team continues to deliver a rapid pace of innovation for defense customers, we’re also continuing to support Department of Defense (DoD) customers and partners in delivering new capabilities to serve mission needs.
Six ways we’re making Azure reservations even more powerful
Azure reservations now available for Databricks and App Service. Auto-renew reservations and scope to resource group.
Announcing Azure Databricks unit pre-purchase plan and new regional availability
Azure Databricks is a fast, easy, and collaborative Apache Spark based analytics platform that simplifies the process of building big data and artificial intelligence (AI) solutions.
Make your data science workflow efficient and reproducible with MLflow
When data scientists work on building a machine learning model, their experimentation often produces lots of metadata: metrics of models you tested, actual model files, as well as artifacts such as plots or log files.
Building a better asset and risk management platform with elastic Azure services
Elasticity means services can expand and contract on demand. This means Microsoft Azure customers who are on a pay-as-you-go plan will reap the most benefit out of Azure services.
Spark + AI Summit – Developing for the intelligent cloud and intelligent edge
We are truly at a unique tipping point in the history of technology. The pace of growth is more rapid than ever before, with estimates of more than 150B connected devices and data growth up to 175 Zettabytes by 2025.
Azure Databricks – VNet injection, DevOps Version Control and Delta availability
Azure Databricks provides a fast, easy, and collaborative Apache® Spark™-based analytics platform to accelerate and simplify the process of building big data and AI solutions that drive the business forward, all backed by industry-leading SLAs.