capabilities and integration will give it enhanced visibility as well. A stronger Azure Data Explorer should make for a stronger Synapse Analytics, a stronger Azure Machine Learning, a stronger ...

Microsoft Azure Synapse and Databricks are both well-respected data platforms. But which data solution is best for your business? Written by eWEEK content and product recommendations are ...

Azure Synapse also gains new machine learning capabilities ... gains MLflow integration and more. Finally, Azure Data Explorer is adding new sources for near real-time analytics, Microsoft ...

Machine learning: The AIOps system Azure uses ... from one hour before and after each deployment as streaming data in Azure Data Explorer (also known as Kusto), which is designed for fast ...

Data scientists view both Azure ML and Databricks as top software picks because both solutions offer comprehensive cloud-based machine learning ... efficient data integration, processing, and ...

That much was clear at this week's combined Microsoft Ignite and Envision events in Orlando and, in particular, in announcements around databases, data-integration, machine learning (ML), and ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

The data lakehouse architecture is leading this change—particularly for machine learning (ML ... Spark for big data processing, and Azure Data Explorer for log and time-series data.

With the new Azure Machine Learning integration, data science teams ... Seeq also supports connectivity to Azure Data Explorer, Time Series Insights, and Power BI. Seeq is available worldwide ...

At the heart of the application is an open source machine learning model, part of a library of many thousands of models and data sets developed ... on the Azure integration, but you can get ...