06 December 2018
Since we announced the limited public preview of Azure Data Lake Storage (ADLS) Gen2 in June, the response has been resounding. Customers participating in the ADLS Gen2 preview have directly benefitted from the scale, performance, security, manageability, and cost-effectiveness inherent in the ADLS Gen2 offering.
04 December 2018
Today, we are announcing the general availability of Azure Stream Analytics (ASA) on IoT Edge, empowering developers to deploy near-real-time analytical intelligence closer to IoT devices, unlocking the full value of device-generated data.
26 November 2018
We recently published a blog on a fraud detection solution delivered to a banking customer. The solution required complete processing of a streaming pipeline for telemetry data in real-time using a serverless architecture. This blog describes the evaluation process and the decision to use Microsoft Azure Functions.
15 November 2018
We are pleased to reveal the release of Spark Interactive Console in Azure Toolkit for IntelliJ. This new component intends to facilitate your Spark job authoring, and enable you to run code interactively in a shell-like environment within IntelliJ.
08 November 2018
Today, we are excited to share our tips and tricks series on how to migrate on-premises Hadoop infrastructure to Microsoft Azure HDInsight.
07 November 2018
In today’s business environment, with the rapidly increasing volume of data and the growing pressure to respond to events in real-time, organizations need data-driven strategies to gain valuable insights faster and increase their competitive advantage.
06 November 2018
We are excited to announce the general availability of the private endpoint in HDInsight clusters deployed in a virtual network.
29 October 2018
We are excited to announce that live data local testing is now available for public preview in Azure Stream Analytics Visual Studio tools.
18 October 2018
Azure Data Factory (ADF) enables you to do hybrid data movement from 70 plus data stores in a serverless fashion. Often users want to connect to multiple data stores of the same type. For example, you might want to connect to 10 different databases in your Azure SQL Server and the only difference between those 10 databases is the database name.
16 October 2018
We are pleased to reveal the preview of HDInsight IO Cache, a new transparent data caching feature of Azure HDInsight that provides customers with up to a 9x performance improvement for Apache Spark jobs.