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.