We want to make it easier for businesses to use their data. Otherwise, what’s the point? In SQL Server 2016 you’ll find a virtual tool chest full of features, all with one primary goal: unlocking your data and helping youRead More

This post was authored by Nagesh Pabbisetty, Partner Director of PM, Microsoft R. This week Microsoft will be joining thousands of people attending Hadoop Summit in San Jose to explore the technology and business of big data and data science.Read More

This post is authored by Mickaël Savafi, Software Engineer at Microsoft. Introduction Azure ML is a drag and drop tool that lets users create machine learning experiments. Experiments are typically constructed by adding modules, tweaking parameters and validating these changes byRead More

Re-posted from the Microsoft Transform blog. Puget Sound voters were the first in the nation to get a real-time, in-depth look at their local civic process, as Seattle broadcaster KING 5 harnessed new technology to bring data visualization to TVRead More

Re-posted from the Microsoft Transform blog. Puget Sound voters were the first in the nation to get a real-time, in-depth look at their local civic process, as Seattle broadcaster KING 5 harnessed new technology to bring data visualization to TVRead More

Re-posted from R-bloggers. The New York City taxi dataset is one of the largest publicly available datasets, with information about 1.1 billion NYC taxi rides. This dataset has been explored and visualized in a number of blog posts, using aRead More

This post is by Chirag Dhull, Product Marketing Manager for Advanced Analytics at Microsoft. It’s no secret that there’s a vast trove of benefits that data science can offer to organizations of all stripes. However, we simultaneously face a situationRead More

Reposted from the Power BI blog We’ve seen lots of interest in the community to visualize the output of an Azure ML model using Power BI. What’s more, if one could operationalize Azure ML models through the Power BI service,Read More

Introduction As a part of the Microsoft Data Science Process, we’ve created a comprehensive walkthrough using pySpark and MLlib to demonstrate how to conduct end-to-end data science on Azure HDInsight Spark clusters. With detailed examples and pySpark code that areRead More

Introduction As a part of the Microsoft Data Science Process, we’ve created a comprehensive walkthrough using pySpark and MLlib to demonstrate how to conduct end-to-end data science on Azure HDInsight Spark clusters. With detailed examples and pySpark code that areRead More