Azure Databricks | Azure Blog

Analytics, Azure Databricks, Azure Health Data Services, Azure Synapse Analytics, Integration, Thought leadership

Published June 10, 2022 • 2 min read

Supporting openEHR with Azure Health Data Services

By Matjaz Ladava Principal Program Manager

This blog is part of a series in collaboration with our partners and customers leveraging the newly announced Azure Health Data Services. Azure Health Data Services, a platform as a service (PaaS) offering designed exclusively to support Protected Health Information (PHI) in the cloud, is a new way of working with unified data—providing care teams with a platform to support both transactional and analytical workloads from the same data store and enabling cloud computing to transform how we develop and deliver AI across the healthcare ecosystem.

AI + Machine Learning, Analytics, Azure Databricks, Thought leadership

Published December 1, 2021 • 4 min read

5 reasons Azure Databricks is best for Hadoop workloads

By Arindam Chatterjee Principal Group Product Manager, Azure Databricks

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.

AI + Machine Learning, Analytics, Azure Databricks, Thought leadership

Published March 25, 2021 • 4 min read

5 reasons Databricks runs best on Azure

By Yatharth Gupta Director of Product, Azure Data

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. Azure Databricks is the only first-party service offering for Databricks, which provides customers with distinct benefits not offered in any other cloud.

Azure Databricks, Azure NetApp Files, Internet of Things, Microsoft Sentinel, Security

Published February 23, 2021 • 4 min read

Accelerating Department of Defense mission workloads with Azure

By Eric Brown Vice President, Azure Global Mission Platform Engineering

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.

AI + Machine Learning, Announcements, Azure Databricks

Published July 15, 2020 • 3 min read

Now save up to 52 percent when migrating to Azure Databricks

By Bharat Sandhu Director, Azure Data & AI

To make it easier for customers to modernize their on-premises Spark and big data workloads to the cloud, we’re announcing a new migration offer with Azure Databricks.

Azure App Service, Azure Databricks, Web

Published August 12, 2019 • 2 min read

Six ways we’re making Azure reservations even more powerful

By Yashesvi Sharma Principal Program Manager, Azure Reservations

Azure reservations now available for Databricks and App Service. Auto-renew reservations and scope to resource group.

Analytics, Announcements, Azure Databricks

Published August 6, 2019 • 2 min read

Announcing Azure Databricks unit pre-purchase plan and new regional availability

By Yatharth Gupta Director of Product, Azure Data

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. Azure Databricks provides data engineers and data scientists an interactive workplace where they can use the languages and frameworks of their choice.

AI + Machine Learning, Azure Databricks, Azure Kubernetes Service (AKS), Azure Machine Learning, Best practices, Container Services

Published June 13, 2019 • 3 min read

Make your data science workflow efficient and reproducible with MLflow

By Roope Astala Senior Program Manager

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. They often try different models and parameters, for example random forests of varying depth, linear models with different regularization rates, or deep learning models with different architectures trained using different learning rates.

Analytics, Azure Data Lake Storage, Azure Databricks, Azure Functions, Azure Stream Analytics, Management and Governance, Partners

Published June 4, 2019 • 2 min read

Building a better asset and risk management platform with elastic Azure services

By Howard Bush Principal Program Manager, Banking and Capital Markets

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.

AI + Machine Learning, Azure Databricks, Azure Machine Learning, Events

Published April 24, 2019 • 5 min read

Spark + AI Summit – Developing for the intelligent cloud and intelligent edge

By Rohan Kumar Corporate Vice President, Azure Data

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.

Product: Azure Databricks

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Supporting openEHR with Azure Health Data Services

5 reasons Azure Databricks is best for Hadoop workloads

5 reasons Databricks runs best on Azure

Accelerating Department of Defense mission workloads with Azure

Now save up to 52 percent when migrating to Azure Databricks

Six ways we’re making Azure reservations even more powerful

Announcing Azure Databricks unit pre-purchase plan and new regional availability

Make your data science workflow efficient and reproducible with MLflow

Building a better asset and risk management platform with elastic Azure services

Spark + AI Summit – Developing for the intelligent cloud and intelligent edge

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