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woensdag 4 oktober 2017
Azure Distributed Data Engineering Toolkit - a open source python CLI tool that allows you to provision on-demand Spark clusters and submit Spark jobs directly from your CLI.
donderdag 16 maart 2017
We are excited to announce doAzureParallel – a lightweight R package built on top of Azure Batch, that allows you to easily use Azure’s flexible compute resources right from your R session.
donderdag 22 september 2016
The Azure Big Compute team is happy to announce version 1.0.0 of the Batch Shipyard toolkit, which enables easy deployment of batch-style Dockerized workloads to Azure Batch compute pools. Azure…
donderdag 21 juli 2016
We are happy to announce the release of MPI support for Linux on Azure Batch. We earlier released MPI support for Windows, and recently introduced Linux support on Azure Batch.
woensdag 30 maart 2016
We are excited to announce a preview of Azure Batch for Linux virtual machines.
dinsdag 22 maart 2016
As promised, we’ve been hard at work porting preview features to the generally available, production-ready Batch service. We’re excited to announce two of the most popular features, Application Packages and Task Dependencies are now available.
maandag 16 november 2015
As our customers bring their workloads to the cloud to take advantages of scale on-demand, without the overhead of managing infrastructure, they ask if Microsoft can support them with Linux. The answer is yes.
woensdag 12 augustus 2015
Azure Data Factory is a cloud-based data integration service for data movement and transformation using fully managed data flow pipelines.
donderdag 9 juli 2015
I'm excited to announce the general availability of Azure Batch, our job scheduling and compute pool management service. In a world of rapidly evolving products and fierce competition, our goal is to deliver a service that lets you focus more on your applications and less on plumbing.
donderdag 9 juli 2015
Across our proven enterprise capabilities, we are bringing the benefits of cloud speed, scale and economics to everyone-- no matter what platform you're on, or what cloud environment you choose.
