Designing Data Analytics using Microsoft Cloud based BigData Solution – Zoom in Azure HDInsight

Learn the capabilities of Microsoft Cloud based BigData platform (a.k.a. Azure HDInsight) and various design choices that it provides, which can unlock the potential of creating new types of business applications that was not possible before. This session will take a deeper dive into Azure HDInsight (which supports Hadoop, Spark, Hive, Mahout, Storm, 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. Even if you are not familiar with cloud or big-data technologies and you don’t work on it, it will give you an high-level overview of these technologies and how they are rapidly changing the business needs in the market and computing industry that you might use directly or indirectly in near future.

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.