Azure Stream Analytics is a fully managed PaaS offering that enables real-time analytics and complex event processing on fast moving data streams. Thanks to zero-code integration with over 15 Azure services, developers and data engineers can easily build complex pipelines ... continue reading

Tomorrow, July 9, 2019, marks the end of extended support for SQL Server 2008 and 2008 R2. These releases transformed the database industry, with all the core components of a database platform built-in at a fraction of the cost of ... continue reading

This is the third blog post in a four-part series on Monitoring on Azure HDInsight. Part 1 is an overview that discusses the three main monitoring categories: cluster health and availability, resource utilization and performance, and job status and logs ... continue reading

This blog was co-authored by Aparna Vishwanathan, Senior Program Manager, Azure Stack and Tiberiu Radu, Senior Program Manager, Azure Stack. Build on the success of others Before we built Azure Stack, our program manager team called a lot of customers ... continue reading

No one disputes that data is critical to the lifeblood of business, applications, and the computer industry. SQL Server sits at the forefront of any discussion about data these days. So its no coincidence that SQL Server is seen, heard, ... continue reading

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. HDInsight partners with Unravel whose mission is to reduce the complexity of delivering ... continue reading

We are pleased to announce the general availability of the new Azure HDInsight management SDKs for .NET, Python, and Java. Highlights of this release More languages: In addition to .NET, you can now easily manage your HDInsight clusters using Python ... continue reading

Businesses today are faced with the challenge of staying profitable and investing in future innovations. Speed and flexibility are the name of the game, and effective data-scaling techniques are highly sought after. Yet exploding data volumes, diverse data types, and ... continue reading

This is the second blog post in a four-part series on Monitoring on Azure HDInsight. "Monitoring on Azure HDInsight Part 1: An Overview" discusses the three main monitoring categories: cluster health and availability, resource utilization and performance, and job status ... continue reading

Azure HDInsight offers several ways to monitor your Hadoop, Spark, or Kafka clusters. Monitoring on HDInsight can be broken down into three main categories: Cluster health and availability Resource utilization and performance Job status and logs Two main monitoring tools ... continue reading