Azure Search enterprise security: Data encryption and user-identity access control
Effective immediately, Azure Search now supports encryption at rest for all incoming data indexed on or after January 24, 2018…
Unlock the full potential of your data with content crafted for data professionals, offering advanced insights and practical solutions. It’s the edge you need to harness the power of your data and lead the way in innovation.
Effective immediately, Azure Search now supports encryption at rest for all incoming data indexed on or after January 24, 2018…
Artificial Intelligence (AI) has emerged as one of the most disruptive forces behind the digital transformation of business.
If you were too busy writing code, attending meetings, or enjoying some time away from work, here’s an overview of what you may have missed in Azure last week: new visual tools for Azure Data Factory v2, IoT extension for Azure CLI 2.
ADF v2 public preview was announced at Microsoft Ignite on Sep 25, 2017.
Last week in Azure started 2018 with addressing a far-reaching security vulnerability at the CPU level, new developer tools for big data, tech content, and more.
We are pleased to introduce the REST API for Azure Analysis Services. Using any programming language that supports REST calls, you can now perform asynchronous data-refresh operations.
Catch up on what you may have missed over the holidays, including important Azure HDInsights news.
Azure Backup stands firm on the promise of simplicity, security, and reliability by giving customers a smooth and dependable experience across scenarios.
We are excited to announce that Azure Data Factory newly enabled copying data from a number of data stores using Copy Activity in V2.
Fast SQL query processing at scale is often key consideration for our customers.
Apache Kafka on the Azure HDInsight platform was added last year as a preview service to help enterprises create real-time big data pipelines.
Azure HDInsight is a fully-managed cloud service that makes it easy, fast, and cost-effective to process massive amounts of data.