Download Free O'Reilly Report – Data Science in the Cloud

Re-post of Stephen Elston’s post on O’Reilly Radar O’Reilly's new report, titled “Data Science in the Cloud, with Azure Machine Learning and R," shows how newer Cloud-based tools, combined with established techniques such as R, make sophisticated ML models accessible to a wide range of users. Through a practical data science example, with relevant data… Read more

Trill – Processing "Big Data" Orders of Magnitude Faster

Re-posted from the Inside Microsoft Research blog. One of the underpinnings of the Azure Stream Analytics service – which we have covered in our earlier blog posts – is a query processor from a high-performance streaming analytics engine named Trill. Developed by Microsoft researchers, Trill processes data a whole lot faster than today’s streaming engines… Read more

ICYMI – Free Machine Learning and Predictive Analytics Training

In case you missed it: If you're not a data scientist, but interested in the power of ML and predictive analytics, be sure check out this level 100 Microsoft Virtual Academy course on Azure ML.  In a demo-rich format led by entertaining experts Buck Woody, Seayoung Rhee and Scott Klein, you will get a real-world look at different… Read more

Video – Check out the cool new Power BI service

Earlier this week, James Phillips, General Manager for Data Experiences at Microsoft, unveiled the new Power BI, a cloud-based business analytics service designed for non-technical business users. Anyone with a US business email account can now try the preview of the new Power BI for free (the service will become available to international users in… Read more

Broad interest in our Revolution Analytics announcement

Our Friday announcement about Revolution Analytics generated a lot of interest worldwide with positive coverage in many technology and business publications and on social channels including Hacker News and Twitter. Here’s a small sampling of quotes – and the logos are linked to the corresponding article. “Though Microsoft already works with R, this represents a… Read more

Microsoft to Acquire Revolution Analytics

Re-posted from the Official Microsoft Blog Microsoft has reached an agreement to acquire Revolution Analytics.  Announcing this earlier today, Joseph Sirosh, Corporate Vice President of Information Management and Machine Learning at Microsoft, said “Revolution Analytics is the leading commercial provider of software and services for R, the world’s most widely used programming language for statistical… Read more

Microsoft Acquires Equivio, Provider of ML Solutions for eDiscovery and Information Governance

Re-post from the Official Microsoft Blog Our customers generate enormous volumes of data every day including tons of email and documents. Sifting through all that data to find what is relevant to a specific legal or compliance issue can be prohibitively expensive and time consuming. We acquired Equivio with the goal of helping our customers tackle… Read more

Announcing Winners of the Azure for Research Awards for ML

As one part of the Microsoft Azure for Research project we periodically run RFPs and offer awards that grant access to Azure Machine Learning to researchers, instructors and students. The goal of these awards is to facilitate scholarly and scientific research by enabling researchers and instructors to take advantage of the power and scale of… Read more

Dr. Pig – or how Azure ML is helping Chinese pig farmers

The range of applications where Machine Learning (ML) can be applied never cease to amaze us. Recently, a team in Microsoft China which included an intern whose father raises pigs built a phone app to help small-scale pig farmers decide on the types and quantity of pigs that will maximize their profits and minimize market… Read more

Channel 9 Video on Azure Data Factory

In case you missed it: Channel 9 recently featured a discussion and demos of our preview release of Azure Data Factory. In this video, Anand Subbaraj introduces us to Azure Data Factory (ADF), a new Azure service that helps data developers and IT professionals easily transform raw data into trusted data assets for their organization… Read more