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Microsoft Azure Blog

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Published • 1 min read

GoChain blockchain available on Azure 

By Senior Software Engineer, Blockchain Engineering

The team at GoChain is bringing their private, scalable blockchain offering to Microsoft Azure. GoChain is a blockchain based on Ethereum, which changes to protocol and consensus model primarily to increase the transaction speed of the network.

Published • 1 min read

Announcing Azure database services for MySQL and PostgreSQL for Azure Government customers 

By Sr. Product Marketing Manager

Today, we are excited to announce the general availability (GA) of Azure Database for MySQL and Azure Database for PostgreSQL for Azure Government customers. With this GA milestone, government agencies and their partners have even more options as they work to advance their missions.

Published • 4 min read

Spark + AI Summit Europe – Developing from cloud to the edge 

By Corporate Vice President, Azure Data

Organizations around the world are gearing up for a future powered by data, cloud, and Artificial Intelligence. This week at Spark + AI Summit Europe, I talked about how Microsoft is committed to delivering cutting-edge innovations that help our customers navigate these technological and business shifts.

Published • 2 min read

Bring Your Own Keys for Apache Kafka on HDInsight 

By Principal Group Product Manager, Dynamics 365 Field Service

One of the biggest security and compliance requirement for enterprise customers is to encrypt their data at rest using their own encryption key. This is even more critical in a post-GDPR world. Today, we’re announcing the public preview of Bring Your Own Key (BYOK) for data at rest in Apache Kafka on Azure HDInsight.

Published • 2 min read

Eight use cases for machine learning in insurance 

By

Insurance companies that sell life, health, and property and casualty insurance are using machine learning (ML) to drive improvements in customer service, fraud detection, and operational efficiency. For example, the Azure cloud is helping insurance brands save time and effort using machine vision to assess damage in accidents, identify anomalies in billing, and more.