Azure Databricks is Now Available In China

This post has been republished via RSS; it originally appeared at: New blog articles in Microsoft Tech Community.

Azure Databricks is a high performance, limitless scaling, big data processing and machine learning platform. Whether your goal is to extend into untapped sources, gain insights in real time, or perform advanced analytics, Azure Databricks has you covered. As organizations start to capitalize on the benefits of Azure Databricks and recognize the impact it drives into their business, they quickly want to go global scale. With availability in more than 30 Azure regions already, global organizations love the consistency and ease of scaling their solutions to wherever their workloads demand. 

 

Now that Azure Databricks is available in Azure China, organizations can leverage the same scalable enterprise-grade service they have come to rely on and extend into new markets. Azure China is a sovereign cloud in mainland China that meets a high bar of security and compliance requirements. We are excited to offer Azure Databricks here and enable organizations to achieve consistent, reliable and collaborative global scale deployments. 

 

“Azure Databricks enables our data engineering and data science teams to deliver results even faster than ever. Scalable data processing and machine learning enable our teams to quickly adapt to shifts in consumer demand and buying behavior,” says Kevin Zeng, Greater China IT CTO at Procter & Gamble. “The availability of Azure Databricks in China enables our global teams to provide a consistent experience for our customers in the region.”

 

Learn more about the Azure China region and Azure Databricks

You can learn more about Azure Databricks availability in the Azure China region by visiting the Azure Products by Region page. Learn more about what you need to consider before moving your workloads to the Azure China region with Microsoft’s Azure China checklist and for questions please reach out to the team through Azure Support.

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