Whether you're shifting ETL workloads to the cloud or visually building data transformation pipelines, version 2 of Azure Data Factory lets you leverage conventional and open source technologies ...

low-code development approach to simplify Big Data analytics in the cloud with Azure Data Factory. The new visual, drag-and-drop functionality comes in Azure Data Factory (ADF) v2, a new public ...

For example, when a Synapse cluster is provisioned, ADLS capacity -- which can store Spark SQL tables -- is requisitioned along with it (as is Azure Data Factory). Spark SQL tables are immediately ...

4. Azure Data Lake Analytics. Data warehouses are designed for questions you already know you want to ask about your data, again and again. Data lakes, on the other hand, enable you to store ...

Azure Data Factory for event processing and Azure’s HDInsight Hadoop-based big data analytics service. Frederic was with TechCrunch from 2012 through 2025. He also founded SiliconFilter and ...

Microsoft last month announced the streaming analytics tool had reached general availability, along with Azure Data Lake Storage. Also announced was a preview of new Mapping Data Flow capabilities in ...

Microsoft introduces Azure ... of network connections. GPUs, while effective for AI computations, are similarly not well-suited to these specialized workloads. To address this, the Data Processing ...

The Internet of Things – a vast network of ... terabytes of sensor data and be ready to get fired up. Microsoft has been innovating in this particular area with its Azure service, and they ...