Migrating big data workloads to Azure HDInsight
Migrating big data workloads to the cloud remains a key priority for our customers and Azure HDInsight is committed to making that journey simple and cost effective.
Analytics
Understanding HDInsight Spark jobs and data through visualizations in the Jupyter Notebook
The Jupyter Notebook on HDInsight Spark clusters is useful when you need to quickly explore data sets, perform trend analysis, or try different machine learning models.
5 tips to get more out of Azure Stream Analytics Visual Studio Tools
Azure Stream Analytics tools for Visual Studio make it easier for you to develop, manage, and test Stream Analytics jobs.
Governance setting for cache refreshes from Azure Analysis Services
Data visualization and consumption tools over Azure Analysis Services (Azure AS) sometimes store data caches to enhance report interactivity for users. The Power BI service, for example, caches dashboard tile data and report data for initial load for Live Connect reports.
Spark + AI Summit – Developing for the intelligent cloud and intelligent edge
We are truly at a unique tipping point in the history of technology. The pace of growth is more rapid than ever before, with estimates of more than 150B connected devices and data growth up to 175 Zettabytes by 2025.
Announcing general availability of Apache Hadoop 3.0 on Azure HDInsight
Today we’re announcing the general availability of Apache Hadoop 3.0 on Azure HDInsight.
Leveraging AI and digital twins to transform manufacturing with Sight Machine
In the world of manufacturing, the Industrial Internet of Things (IIoT) has come, and that means data. A loT of data. Smart machines, equipped with sensors, add to the large quantity of data already generated from quality systems, MES, ERP and other production systems.
Event-driven Java with Spring Cloud Stream Binder for Azure Event Hubs
Spring Cloud Stream Binder for Azure Event Hubs is now generally available.
Updates to geospatial features in Azure Stream Analytics – Cloud and IoT edge
Azure Stream Analytics is a fully managed PaaS service that helps you run real-time analytics and complex event processing logic on telemetry from devices and applications. Numerous built-in functions available in Stream Analytics helps users build real-time applications using simple SQL language with utmost ease.
Announcing the public preview of Data Discovery & Classification for Azure SQL Data Warehouse
Today we’re announcing the public preview of Data Discovery & Classification for Azure SQL Data Warehouse, an additional capability for managing security for sensitive data.
Clean up files by built-in delete activity in Azure Data Factory
Clean up files by built-in delete activity in Azure Data Factory
Incrementally copy new files by LastModifiedDate with Azure Data Factory
Azure Data Factory (ADF) is the fully-managed data integration service for analytics workloads in Azure.