IOT, Timeseries and Prediction with Android, Cassandra and Spark
Explore the potential of IoT through a live demonstration showcasing data collection from a smartphone's accelerometer, storage in Cassandra using a timeseries model, and real-time analysis with Spark. Learn about Cassandra's key features, including last write wins and compaction, and discover how to implement timeseries data storage and querying. Dive into the Spark ecosystem, understanding RDD transformations, actions, and cluster deployment. Gain insights into activity recognition using multiclass classification and decision tree models. Witness the process of collecting training data, extracting features, and implementing a random forest algorithm for predictive modeling in this comprehensive exploration of IoT, timeseries data, and machine learning.