We are pleased to share that support for HDInsight in Azure CLI is now generally available. The addition of the `az hdinsight` command group allows you to easily manage your HDInsight clusters using simple commands while taking advantage of all that Azure CLI has to offer, such as cross-platform support and tab completion.
Today, we are announcing the most comprehensive and compelling migration offer available in the industry to help customers simplify their cloud analytics journey. This collaboration between Microsoft and Informatica provides customers an accelerated path for their digital transformation.
Digital disruption has created unlimited potential for companies to embrace data as a competitive advantage for their business. As a result, analytics continues to be a key priority for enterprises. When it comes to analytics, customers tell us that they need a solution that provides them with the best price, performance, security, and privacy, as well as a system that can easily deliver powerful insights across the organization. Azure has them covered.
On February 7, 2019 we announced the general availability of Azure Data Lake Storage (ADLS) Gen2. Azure is now the only cloud provider to offer a no-compromise cloud storage solution that is fast, secure, massively scalable, cost-effective, and fully capable of running the most demanding production workloads.
We are happy to share that you can now export data to Azure Event Hubs and Azure Service Bus in near real-time from your Azure IoT Central app!
Learn how to connect Power BI and Azure Data Services to share data and unlock new insights with a new tutorial.
Customers use HDInsight Interactive Query (also called Hive LLAP, or Low Latency Analytical Processing) to query data stored in Azure storage & Azure Data Lake Storage in super-fast manner.
We have heard from many customers about their challenges with detecting highly evasive threats. Today, we are discussing some of our more complex, heuristic techniques to detect malicious use of this vital protocol and how these detect key components of common real-world attacks.
In-memory computing has accelerated the big compute capabilities and enabled customers to extend its experience beyond just the monte carlo simulation and into the analytics. This blog will look to explore the new possibilities of a scale out architecture for in-memory analytics in Azure through ActivePivot.
To further our commitment to providing the latest in cloud innovation for government customers we’re excited to announce the general availability of HDInsight and Power BI Pro in Microsoft Cloud for Government.