The ability to transform raw data into actionable insight is critical to business performance. As businesses continue to consume growing volumes of data, the importance of having the right tools to collect, process, and analyze that data increases exponentially. In this talk, Philipp Burckhardt will discuss tools and techniques for analyzing large datasets with Node.js and JavaScript. Philipp Burckhardt will first address design patterns for data collection, focusing on stream and command-line interfaces. He will then discuss current Node.js libraries and toolchains for stream processing, statistical analysis, and machine learning. Next, the speaker will introduce techniques for analyzing large datasets, with an emphasis on exploratory data analysis and visualization. Finally, he will identify opportunities for community development of next-generation tools.