doAzureParallel

Kevin Feasel

2017-03-31

Cloud, R

JS Tan announces a new R package:

For users of the R language, scaling up their work to take advantage of cloud-based computing has generally been a complex undertaking. We are therefore excited to announce doAzureParallel, a lightweight R package built on Azure Batch that allows you to easily use Azure’s flexible compute resources right from your R session. The doAzureParallel package complements Microsoft R Server and provides the infrastructure you need to run massively parallel simulations on Azure directly from R.

The doAzureParallel package is a parallel backend for the popular foreach package, making it possible to execute multiple processes across a cluster of Azure virtual machines with just a few lines of R code. The package helps you create and manage the cluster in Azure, and register it as a parallel backend to be used with foreach.

It’s an interesting alternative to building beefy R servers.

Related Posts

Building a Big Data Cluster

Mohammad Darab continues a series on SQL Server Big Data Clusters in Azure Kubernetes Service: To kick off the Big Data Cluster “Default configuration” creation, we will execute the following Powershell command: mssqlctl cluster create That will first prompt us to accept the license terms. Type y and Enter.  Mohammad takes us through the default installation, which […]

Read More

Using the Cosmos DB Data Migration Tool

Hasan Savran shows how you can use the Cosmos DB Data Migration Tool to move data from various sources into Cosmos DB: All you need is the connection string of your database or location of your source files and your CosmosDB keys. If you are using a database as source, you can format the data […]

Read More

Categories

March 2017
MTWTFSS
« Feb Apr »
 12345
6789101112
13141516171819
20212223242526
2728293031