Ingesting on-premise data and transforming it using Azure Data Factory ... to parquet format as it provides significant performance, storage, and query optimization benefits in big data processing and ...

Automatic schema generation: Users no longer need to upload output schemas for storage-based data flow endpoints, such as Azure Data Lake Storage v2 and Azure Data Explorer. These schemas are now ...

The second major version of Azure Data Factory ... made up of a visual flow of individual activities. Activities are little building blocks, providing flow and data processing functionality.

If we directly load API data into Azure Synapse Analytics, the nested json file cannot be correctly mapped to Azure Synapse Analytics tables, so we need to utilize Flatten transformation inside Azure ...

The hybrid platform relies on Azure Queue storage and Azure Functions to prioritize and ... that allows the developers to run a lightning fast, event-driven data processing flow without the overhead ...

Microsoft expects future DPU-equipped Azure servers to run storage workloads ... handle general processing, GPUs will power accelerated computing, and DPUs will manage data flow.

The 3M corporate research team and local manufacturing organization came to a bold new solution, processing and analyzing the big data locally – at the edge. By applying analytics and machine learning ...