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Microsoft partners with National Science Foundation to empower data science breakthroughs

Over the past decade, Microsoft has partnered with the National Science Foundation (NSF) on three separate programs, first in , and more recently through a commitment of $6M in cloud credits across two NSF supported data science programs – with ... continue reading

Accelerated Spark on GPU-enabled clusters in Azure

The ability to run Spark on a GPU enabled cluster demonstrates a unique convergence of big data and high-performance computing (HPC) technologies. In the past several years, we've seen the GPU market explode as companies all over the world integrate ... continue reading

Azure Data Lake tools integrates with VSCode Data Lake Explorer and Azure Account

If you are a data scientist and want to explore the data and understand what is being saved and what the hierarchy of the folder is, please try Data Lake Explorer in VSCode ADL Tools. If you are a developer ... continue reading

ADL Tools for Visual Studio Code (VSCode) supports Python & R Programming

We are thrilled to introduce support for Azure Data Lake (ADL) Python and R extensions within Visual Studio Code (VSCode). This means you can easily add Python or R scripts as custom code extensions in U-SQL scripts, and submit such ... continue reading

Getting Started with #Azure Data Science Virtual Machine on Windows 2016 #DSVM #winserv #VSTS #DevOps

The Data Science Virtual Machine (DSVM) is a ‘Windows Server 2016 with Containers’ VM & includes popular tools for data exploration, analysis, modeling & development. Highlights: Microsoft R Server – Dev. Ed. (Scalable R) Anaconda Python SQL Server 2017 Dev ... continue reading

Provision on-demand Spark clusters on Docker using Azure Batch’s infrastructure

Since its release 3 years ago, Apache Spark has soared in popularity amongst Big Data users, but is also increasingly common in the HPC space. However, spinning up a Spark cluster, on-demand, can often be complicated and slow. Instead, Spark ... continue reading