Microsoft Azure is getting new capabilities to handle big data workloads. The company announced a host of new features in a blog post today that are all targeted at organizations that need to ...

Azure Synapse, previously known as Microsoft Azure SQL Data Warehouse, integrates big data and data warehousing into a single platform. Its architecture is built on a strong SQL foundation ...

Azure Data Explorer is a fully managed, high-performance, big data analytics platform that makes it easy to analyze high volumes of data in near real-time, with tools covering data ingestion ...

He believes over time the vast majority of enterprises can meet their big data processing needs by finding the right tool in the marketplace. “When Azure Machine Learning arrives, it’s so easy ...

However, it is a powerful cloud engine for processing large volumes of data, and offers a rich set of connectors to the rest of the Azure Big Data services like machine learning and Azure Databricks.

Microsoft Azure ML and Databricks both offer top-rated ML tools. But which is best for your company? Written by eWEEK content and product recommendations are editorially independent. We may make ...

the company is hoping to make a similar impact with big data analysis with its new Windows Azure HDInsight service.A “I think what we’ve always done well as a company is take hard technology ...

"It completes the data analytics part of the solution. Customers can push big data through StorSimple to Azure and analyze it there via Microsoft HDInsight Hadoop technology. The virtual appliance ...

Geared mostly to Azure data services and heavily reliant ... technologies (like SSIS packages and stored procedures) and big data technologies (like Apache Hive Jobs, Python Scripts and Databricks ...