Azure Data Lake Analytics, along with Azure Data Lake Storage, is a key component of Microsoft’s Azure Data Lake solution. Currently, Azure Data Lake Analytics can be used for batch workloads only.

Ignite 2019: Microsoft has revved its Azure SQL Data Warehouse, re-branding it Synapse Analytics, and integrating Apache Spark, Azure Data Lake Storage and Azure Data Factory, with a unified Web ...

Practices For Configuring Azure Data Factory In Multi-Tenant Environments By Upesh Kumar Rapolu As a professional who has earned the Microsoft Azure certification, Upesh has worked extensively ...

Microsoft continues to augment it’s Azure cloud for HPC workloads with the release of the Batch Shipyard toolkit, version 1.0. Available on GitHub as Open Source, the Batch Shipyard toolkit enables ...

In this video, you'll learn how to start submitting deep neural network (DNN) training jobs in Azure by using Azure Batch to schedule the jobs to your GPU compute clusters. "Previously, few people had ...

There's yet another new Microsoft platform in town: The Microsoft Intelligent Data Platform. Here's what this is and why app developers, chief data officers and IT pros should take note.

Azure Batch is an interesting example of a new generation of PaaS services that look and behave like traditional IaaS, but with the underlying infrastructure and operating system managed for you ...

In “ Designing a metadata-driven ETL framework with Azure ADF: An architectural perspective,” I laid the groundwork for a scalable, metadata-driven ETL framework using Azure Data Factory (ADF).

While that’s a mouthful, the name pretty much tells you what it is: a new service for batch training deep neural networks on the company’s Azure cloud computing platform.