Azure Stream Analytics and Power BI general availability
21 de abril de 2016
Today we are pleased to announce the general availability of the integration between Azure Stream Analytics and Power BI.
21 de abril de 2016
Today we are pleased to announce the general availability of the integration between Azure Stream Analytics and Power BI.
25 de março de 2016
Today, we are announcing the ability to make customizations to live running Apache Hadoop clusters in Azure HDInsight.
16 de março de 2016
February has been a short, but exciting month for SQL Data Warehouse and the team has been working directly with customers to understand how to best improve the service.
3 de dezembro de 2015
We’re excited to announce the public preview availability of Azure SQL Data Warehouse in all three Azure India data centers (Central, West and South India).
3 de dezembro de 2015
We are happy to announce the expanded regional availability of DocumentDB. You can now provision DocumentDB accounts in the Japan East and Japan West regions.
30 de novembro de 2015
We’re excited to announce another round of improvements during the month of November for SQL Data Warehouse.
28 de outubro de 2015
As we get ready for SQL PASS Summit 2015, the world’s largest gathering of SQL Server and BI professionals, we’re excited to share that Azure Data Lake Analytics and Azure Data Lake Store are now in Public Preview.
22 de outubro de 2015
We are excited to announce MapR cluster deployment availability on Azure Marketplace. In this blog post, we will walk you through the steps required to deploy this cluster.
20 de outubro de 2015
We’re happy to announce the first release of capabilities for the Azure SQL Data Warehouse after our Public Preview launch. This release incorporates key feedback from early customers to provide a number of sought after improvements.
8 de outubro de 2015
We’re excited to announce you can now utilize database auditing with Azure SQL Data Warehouse. This is a key security enhancement that removes barriers from businesses wanting to manage their data warehouse in the cloud.