Analytics on Azure Blog

In the world of data streaming, efficient data processing is key to unlocking valuable insights and powering real-time decision-making. With the recent integration of Event Hubs Schema Registry, Azure Stream…

Imagine getting real-time insights into customer transactions with sub-second latency to respond to customer behavior immediately, detecting anomalies associated with your machines running at your business, or building real-time dashboards…

Azure Stream Analytics announces a slew of enhancements at Build 2023: New competitive pricing model, Virtual Network integration, native support for Kafka source & destination, integration with Event Hub Schema Registry, GA…

Overview Virtual network support enables you to lock down access to Azure Stream Analytics to your virtual network infrastructure.  This capability provides you with the benefits of network isolation and…

Our customers already enjoy ASA’s exceptional performance, high availability, low-code/no-code experiences, and rich development tools.  To make streaming analytics with ASA an even easier win, we are announcing a new…

This is the second post in a 3-part blog series on Power BI with Azure Databricks SQL authored by Andrey Mirskiy and Diego Fanesi. Read Part 1: Power Up your BI with Microsoft Power BI…

Today, we announce HDInsight Autoscale with enhanced capabilities which include improved latency and support for recommissioning node managers in case of load-based autoscale. Together, they improve cluster utilization massively and…

This post was authored by Andrey Mirskiy and Diego Fanesi.   Welcome to the first post of our series on how to use Azure Databricks SQL with Power BI. In…

By Steve Lorello, Sr. Field Engineer at Redis   Power BI is a widely used, interactive visualization tool capable of querying a variety of SQL-powered back ends. To accelerate these…