Chapter 10. Measuring and Managing Information Streams

This chapter focuses on Redis's role in capturing information and data analytics leading to actionable knowledge for organizations. We'll start with a detailed description and examples of how to extract, transform, and load large volumes of data into Redis through mass insertion and other techniques. Next, we will examine how security considerations can impact management, along with a web-based dashboard to display runtime statistics with Redis. Finally, we'll experiment with using Redis with machine learning techniques such as Naïve Bayes and linear regression.