Chapter 11: Analytics on AWS

In this age of information, understanding your data has become extremely important. With current cutting-edge technologies, extensive amounts of data are generated every second – data that needs to be stored and analyzed. Companies perform data analytics to explain, predict, and ultimately gain a competitive advantage in business. Traditional analytics would include retail analytics, supply chain analytics, or stock rotation analytics. With machine learning (ML) and artificial intelligence taking a firm hold on the economy, new evolutions of analytics have come into play, such as cognitive analytics, fraud analytics, and speech analytics. The list is almost endless but suffice it to say that understanding your raw data has required considerable effort and a whole business unit dedicated to data analytics alone.

AWS offers a vast array of analytics tools that you can use to ingest, store, and effectively understand the data that's generated...