Hadoop on Windows Azure: Hive vs. JavaScript for processing big data. For some time Microsoft didn't offer a solution for processing big data in cloud environments.
SQL Server is good for storage, but its ability to analyze terabytes of data is limited. Hadoop, which was designed for this purpose, is written in Java and was not available to .NET developers. So, Microsoft launched the Hadoop on Windows Azure service to make it possible to distribute the load and speed up big data computations. But it is hard to find guides explaining how to work with Hadoop on Windows Azure, so here we present an overview of two out-of-the-box ways of processing big data with Hadoop on Windows Azure and compare their performance. Introduction to Hadoop on Windows Azure. Unlock business insights from all your structured and unstructured data, including large volumes of data not previously activated, with Microsoft's Big Data solution.
Microsoft's end-to-end roadmap for Big Data embraces Apache Hadoop™ by distributing enterprise class, Hadoop-based solutions on both Windows Server and Windows Azure. In this session, we'll go over the basics for Big Data problems. In addtion, we'll give a preview of the CTP version of Apache Hadoop on Windows Azure Portal experience from cluster deployment to visualizing HIVE query from Microsoft Excel.
Key benefits: Broader access of Hadoop to end users, IT professionals, and developers, through easy installation and configuration and simplified programming with JavaScript. .NET - Develop. Big Data sur Windows Azure.