Volume 32 Number 7
Companies providing cloud-scale services have an ever-growing need to store and analyze massive data sets. U-SQL provides the expressibility necessary for advanced analytics tasks, like machine learning and operating seamlessly on cloud-scale data.
Learn how to use the Microsoft Cognitive Toolkit (CNTK), a powerful, open source library that lets you create machine learning prediction models—in particular, deep neural networks that are at the forefront of artificial intelligence efforts such as Cortana and self-driving automobiles.
Julie Lerman shows you a simple way to share a pre-configured database along with a SQL Server across your team, allowing everyone to have a locally running server and a local copy of the database. And, because you’re doing it all with a container, nobody needs to install SQL Server on their computer or execute any scripts to get the database set up for use.
Learn how to leverage your experience working with databases to do data science. SQL Server 2016 is bursting with exciting intelligence capabilities that enable you to run R code right where the data is.
Stefano Tempesta presents design best practices and code examples for implementing the Azure Redis Cache and tuning the performance of ASP.NET MVC applications. Learn to optimize cache hit ratios and reduce “miss rates” with smart algorithms processed by machine learning.
Angular, Web API and Azure DocumentDB are each great technologies to have in your development arsenal. Combined they enable developers to quickly build apps at scale.
You get one chance to make a first impression, and one chance to make a good start at a new job. Here's six ways to ensure you hit the ground running.