Intro One of the biggest challenges in training a deep neural network lies in the quality and quantity of data collected for training. In previous blogs we highlighted how data is collected from our miniature self-driving car, and how it is transported from the source to HDFS using Cloudera DataFlow (CDF) and Cloudera Edge Manager […]
Intro In our previous blog post, we collected data from sensors mounted on our smart vehicle and described a ROS embedded application to prepare the data for training a machine learning (ML) model. This blog showcases the flow of data streaming from the edge to a data lake in the cloud. The data is in […]