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Real example: improve accuracy, reduce training times for existing R codebase

When you buy an item on a favored website, does the site show you pictures of what others have bought? That’s the result of a recommendation system. Retailers have been building such systems for years, many built using the programming ... continue reading
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Improve collaborative care and clinical data sharing with blockchain

Currently, the healthcare industry suffers major inefficiencies due to diverse uncoordinated and unconnected data sources/systems. Collaboration is vital to improve healthcare outcomes. With digitized health data, the exchange of healthcare information across healthcare organizations is essential to support effective care ... continue reading
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Avoid Big Data pitfalls with Azure HDInsight and these partner solutions

According to a Gartner 2017 prediction, “60 percent of big data projects will fail to go beyond piloting and experimentation, these projects will be abandoned”. Whether you worked on an analytical project or are starting one, it is a challenge ... continue reading
IoT Analytics

Streaming analytics use cases with Spark on Azure

Sensors, IoT devices, social networks, and online transactions are all generating data that needs to be monitored constantly and acted on quickly. As a result, the need for large-scale, real-time stream processing is more evident now than ever before. With ... continue reading

Power BI Embedded dashboards with Azure Stream Analytics

Azure Stream Analytics is a fully managed “serverless” PaaS service in Azure built for running real-time analytics on fast moving streams of data. Today, a significant portion of Stream Analytics customers use Power BI for real-time dynamic dashboarding. Support for ... continue reading

Getting started with Apache Spark on Azure Databricks

Data is growing at an astounding rate, with an estimated 2.5 quintillion bytes being created everyday. Data analysts predict that by 2020, the world’s collected data will quadruple. In the sea of all this data, we are continually exploring new ... continue reading
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Getting Started with #Azure Data Science Virtual Machine on Windows 2016 #DSVM #winserv #VSTS #DevOps

The Data Science Virtual Machine (DSVM) is a ‘Windows Server 2016 with Containers’ VM & includes popular tools for data exploration, analysis, modeling & development. Highlights: Microsoft R Server – Dev. Ed. (Scalable R) Anaconda Python SQL Server 2017 Dev ... continue reading