544 search results for "hadoop"

Tutorial: Using R for Scalable Data Analytics

March 31, 2017
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Tutorial: Using R for Scalable Data Analytics

At the recent Strata conference in San Jose, several members of the Microsoft Data Science team presented the tutorial Using R for Scalable Data Analytics: Single Machines to Spark Clusters. The materials are all available online, including the presentation slides and hands-on R scripts. You can follow along with the materials at home, using the Data Science Virtual Machine...

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Running your R code on Azure with mrsdeploy

March 22, 2017
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Running your R code on Azure with mrsdeploy

by John-Mark Agosta, data scientist manager at Microsoft Let’s say you’ve built a model in R that is larger than you can conveniently run locally, and you want to take advantage of Azure’s resources simply to run it on a larger machine. This blog explains how to provision and run an Azure virtual machine (VM) for this, using the...

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Is it possible to use RevoScaleR package in Power BI?

March 20, 2017
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Is it possible to use RevoScaleR package in Power BI?

I was invited to deliver a session for Belgium User Group on SQL Server and R integration. After the session – which we did online using web based Citrix  – I got an interesting question: “Is it possible to use RevoScaleR performance computational functions within Power BI?“. My first answer was,  a sceptical yes. But … Continue...

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Three advanced online R courses in Statistics.com that are starting soon (and a discount code for them)

March 15, 2017
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Three advanced online R courses in Statistics.com that are starting soon (and a discount code for them)

Three courses in R are starting tomorrow and two next week on Statistics.com. You may use the code “1qR-blogger-17″ when registering (offering a reduced rate of $399 instead of,  around, $589 a course).  List of R courses: Mar 17:  SQL and R – Introduction to Database Queries, taught by Ben Baumer, (Director of the Statistical & Data Sciences Program...

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Updates to the Data Science Virtual Machine for Linux

March 10, 2017
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Updates to the Data Science Virtual Machine for Linux

The Data Science Virtual Machine (DSVM) is a virtual machine image on the Azure Marketplace assembled for data scientists. The goal of the DSVM is provide a broad array of popular data-oriented tools in a single environment, and make data scientists and developers highly productive in their work. It's available for both Windows and Linux, and the Linux edition...

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Self-Service Adobe Analytics Data Feeds!

March 2, 2017
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Self-Service Adobe Analytics Data Feeds!

I’ve written several posts about the Adobe Analytics Analytics (née Clickstream) Data Feed (links: 1,2,3) over the past several years. The Analytics Data Feed is an invaluable tool for moving beyond aggregate-level reporting information about your c...

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Data Science Job Report 2017: R Passes SAS, But Python Leaves Them Both Behind

March 1, 2017
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Data Science Job Report 2017: R Passes SAS, But Python Leaves Them Both Behind

I’ve just updated another section of The Popularity of Data Science Software. It is reproduced below to save you the trouble of reading the entire article. If your organization is looking for training in the R language, you might consider my … Continue reading →

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Yes, you can run R in the cloud securely

February 20, 2017
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Yes, you can run R in the cloud securely

Once thought of as the ‘little programming language that could’, R has fundamentally transformed the way data scientists and organisations use their data. It gives businesses the power to leverage big data and develop predictive models that enable action, not … Continue reading →

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R and SQL Server articles

February 8, 2017
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R and SQL Server articles

In past couple of months, I have prepared several articles on R and SQL Server that have been published on SQL Server Central. The idea was, to have couple of articles covering the introduction to R, to basics on R Server, to some practical cases on R with SQL Server. 1) Using Microsoft R in … Continue...

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A look back at the year in R and Microsoft

February 1, 2017
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Thomas Dinsmore's ML/DL blog recently concluded a look back on significant advancements in data science, machine learning and deep learning — many of which involved R and/or Microsoft. Here are those highlights (reproduced with permission): The R Project R and Python maintained their leadership as primary tools for open data science. The Python versus R debate continued amid an...

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