Explore the MATLAB workflow for working with big data from sensors and IoT devices:

  • Access large data sets stored in a broad range of file types and databases (relational SQL, data warehouse, NoSQL, data historians, IoT data aggregators), or the Hadoop Distributed File System (HFDS)
  • Explore and process the data using visualization, data cleansing, and data reduction techniques to understand trends
  • Use machine learning techniques (unsupervised and supervised learning) to create models and algorithms for use in embedded systems, business applications, and other services
  • Through case studies and code examples you will learn how to apply these techniques. Download the white paper now.