15 октября 2018 г.
Azure Stream Analytics is a fully managed service for real-time data processing. Stream Analytics jobs read data from input sources like Azure Event Hubs or IoT Hub. They can perform a variety of tasks from simple ETL and archiving to complex event pattern detection and machine learning scoring.
20 сентября 2018 г.
We’re excited to announce that Fivetran has certified their zero maintenance, zero configuration, data pipelines product for Azure SQL Data Warehouse.
27 августа 2018 г.
The Integration Runtime (IR) is the compute infrastructure used by Azure Data Factory to provide data integration capabilities across different network environments. If you need to perform data…
16 августа 2018 г.
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.
13 августа 2018 г.
HDInsight enterprise customers work with some of the most sensitive data in the world. They want to be able to lock down access to this data at the networking layer as well. However, while service…
28 июня 2018 г.
The digital experience (DX) era is here, and AI is one of the primary technologies to fuel productivity and innovation in the retail and consumer goods industry. Brands that take a “wait and see”…
20 июня 2018 г.
Column-Level Security is now natively supported in Azure SQL Data Warehouse.
30 мая 2018 г.
Unravel on HDInsight enables developers and IT Admins to manage performance, auto scaling & cost optimization better than ever. We are pleased to announce Unravel on Azure HDInsight Application Platform.
4 января 2018 г.
Join Microsoft, Qubole, and Precocity on January 20, 2018 for a Hands on workshop of Qubole Data Services on Azure and how you can maximize data insights from your customers to accelerate purchasing decisions.
19 декабря 2017 г.
Azure HDInsight is a fully-managed cloud service for customers to do analytics at a massive scale using the most popular open-source frameworks such as Hadoop, MapReduce, Hive, LLAP, Presto, Spark, Kafka, and R...