Actuating mobility in the enterprise with new Azure Maps services and SDKs
The mobility space is at the forefront of the most complex challenges faced by cities and urban areas today.
Analytics
Analytics in Azure is up to 14x faster and costs 94% less than other cloud providers. Why go anywhere else?
It’s true. With the volume and complexity of data rapidly increasing, performance and security are critical requirements for analytics. But not all analytics services are built equal. And not all cloud storage is built for analytics.
Individually great, collectively unmatched: Announcing updates to 3 great Azure Data Services
As Julia White mentioned in her blog today, we’re pleased to announce the general availability of Azure Data Lake Storage Gen2 and Azure Data Explorer. We also announced the preview of Azure Data Factory Mapping Data Flow.
Processing trillions of events per day with Apache Kafka on Azure
n the current era, companies generate huge volumes of data every second. Whether it be for business intelligence, user analytics, or operational intelligence; ingestion, and analysis of streaming data requires moving this data from its sources to the multiple consumers that are interested in it.
New connectors added to Azure Data Factory empowering richer insights
Azure Data Factory adds new connectors for data ingestion into Azure to empower mordern data warehouse solutions and data-driven SaaS apps: Cosmos DB MongoDB API, Google Cloud Storage, Amazon S3, MongoDB, REST, and more.
Azure Stream Analytics now supports Azure SQL Database as reference data input
Our goal in 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.
Announcing the general availability of Query Store for Azure SQL Data Warehouse
Since our preview announcement, hundreds of customers have been enabling Query Store to provide insight on query performance. We’re excited to share the general availability of Query Store worldwide for Azure SQL Data Warehouse.
Transitioning big data workloads to the cloud: Best practices from Unravel Data
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.
Development, source control, and CI/CD for Azure Stream Analytics jobs
Do you know how to develop and source control your Microsoft Azure Stream Analytics (ASA) jobs? Do you know how to setup automated processes to build, test, and deploy these jobs to multiple environments?
Analyze data in Azure Data Explorer using KQL magic for Jupyter Notebook
Exploring data is like solving a puzzle. You create queries and receive instant satisfaction when you discover insights, just like adding pieces to complete a puzzle.
Azure Service Bus and Azure Event Hubs expand availability
The Azure Messaging team is continually working to enhance the resiliency and availability of our service offerings – Azure Service Bus, Azure Event Hubs, and Azure Event Grid.
HDInsight Tools for Visual Studio Code now generally available
We are pleased to announce the general availability for Azure HDInsight Tools for Visual Studio Code (VSCode). HDInsight Tools for VSCode give developers a cross-platform lightweight code editor for developing HDInsight PySpark and Hive batch jobs and interactive query.