Our goal on the Azure Stream Analytics team is to empower developers and make it incredibly easy to leverage the power of Azure to analyze big data in real-time. We achieve this by continuously listening for feedback from our customers ... continue reading

Today, Microsoft is announcing new intelligent cloud and intelligent edge capabilities for U.S. government customers. These new capabilities will help government customers uniquely address “the tactical edge”—or, a dependence on information systems and connectivity in harsh scenarios or other situations ... continue reading

Migrating on-premises Apache Hadoop® and Spark workloads to the cloud remains a key priority for many organizations. In my last post, I shared “Tips and tricks for migrating on-premises Hadoop infrastructure to Azure HDInsight.” In this series, one of HDInsight’s ... continue reading

Modern enterprises are struggling to gain insights from an exploding number of database management systems and ever-growing data volumes. SQL Server 2019 can help you overcome the challenges of integrating data and bring AI and machine learning to all of ... continue reading

Technology allows manufacturers to generate more data than traditional systems and users can digest. Predictive analytics, enabled by big data and cloud technologies, can take advantage of this data and provide new and unique insights into the health of manufacturing ... continue reading

We are excited to announce the January release of Azure Data Studio (formerly known as SQL Operations Studio) is now available. Download Azure Data Studioand review the Release Notes to get started. Note: If you are currently using the preview ... continue reading

In this post, we will explore how to use automated machine learning (AutoML) to create new machine learning models over your data in SQL Server 2019 big data clusters. SQL Server 2019 big data clusters make it possible to use ... continue reading

In today’s high-speed environment, being able to process massive amounts of data each millisecond is becoming a common business requirement. We are excited to be announcing that an internal Microsoft project known as Trill for processing “a trillion events per ... continue reading

This blog continues our coverage of the solution guide published by Microsoft’s Industry Experiences team. The guide includes the following components: Ingesting data Hot path processing Cold path processing Analytics clients We already covered the recommendation for processing data for ... continue reading