Azure Data Explorer Technology 101
For our own troubleshooting needs, the Azure Data Explorer team wanted to run ad-hoc queries on the massive telemetry data stream produced by our service. Finding no suitable solution, we decided to create one.
For our own troubleshooting needs, the Azure Data Explorer team wanted to run ad-hoc queries on the massive telemetry data stream produced by our service. Finding no suitable solution, we decided to create one.
Hadoop 3.0 is a major upgrade to the Hadoop stack enabling developers to build deep learning systems and business applications on top of very large datasets using the most modern compute infrastructure available in the cloud.
Today at Microsoft Ignite in Orlando we announced the preview of Azure Data Explorer in 41 regions – a lightning fast service optimized for data exploration. The service helps organizations quickly discover insights from petabytes of structured and unstructured data.
Data is more critical than ever in all aspects of modern business. As more organizations embark on digital transformation and embrace a data-driven culture, a common IT challenge is building the definitive source of truth for trusted, curated data.
Keep current on what’s happening in Azure, including what’s now in preview, generally available, news & updates, and more.
The Integration Runtime (IR) is the compute infrastructure used by Azure Data Factory to provide data integration capabilities across different network environments.
The HDInsight team is excited to announce Apache Zeppelin Support for Apache Phoenix
Fast Interactive BI, data security and end user adoption are three critical challenges for successful big data analytics implementations. Without right architecture and tools, many big data and analytics projects fail to catch on with common BI users and enterprise security architects.
GitHub is a development platform that allows you to host and review code, manage projects and build software alongside millions of other developers from open source to business.
At Microsoft, like many companies using data for competitive advantage, opportunities for insight abound and our analytics needs were scaling fast – almost out of control.
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.
About HDInsight Azure HDInsight is Microsoft’s premium managed offering for running open source workloads on Azure. Today, we are excited to announce several new capabilities across a wide range of OSS frameworks.