Designing and Architecting Distributed Analytics and Data Science applications using Microsoft’s Azure/Big-Data Technologies

Taking a tour of Microsoft Azure based Big-Data platform (one of the most promising technology in the industry at least for next few years) that unlocks the potential of creating new types of business applications that was not possible before. This session will take a look into the new features of Azure/HDInsight (which supports Hadoop, Spark, Hive, HBase and many other big-data technologies that runs on top of cloud based virtualized infrastructure), discuss the possible design scenarios in support of writing cross domain data analytics applications and finally writing few (more than one) different real world applications. Most of these technologies are portable and run in all major technological platforms (i.e. beyond Microsoft platform) seamlessly. I will also walk you through the Azure based Machine Learning Studio and Microsoft Cognitive Services to design and architect Data Science applications. You don’t need to be familiar with it to attend this session.

Joy Chakraborty

Joy is a Distributed System Architect, 17+ yrs of Application Software development experience, 10+ yrs of .NET and C# development experience, 5+ yrs of work experience in ASP .NET web application scaling and performance improvement, 4+ yrs of WCF experience with a special interest in distributed/parallel computing, currently working on Cloud, Big Data and Machine Learning technologies for last 4+ years. Also, he is actively part of various Software architectural organization and active open source contributor on big-data projects.